Paper Digest: Recent Papers on Deep Fake
Paper Digest Team extracted all recent Deep Fake related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.
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TABLE 1: Paper Digest: Recent Papers on Deep Fake
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | A Lightweight and Interpretable Deepfakes Detection Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a unified framework that exploits the power of proposed feature fusion of hybrid facial landmarks and our novel heart rate features for detection of all types of deepfakes. |
Muhammad Umar Farooq; Ali Javed; Khalid Mahmood Malik; Muhammad Anas Raza; | arxiv-cs.CV | 2025-01-21 |
| 2 | Audio-visual Deepfake Detection With Local Temporal Inconsistencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an audio-visual deepfake detection approach that aims to capture fine-grained temporal inconsistencies between audio and visual modalities. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2025-01-14 |
| 3 | CodecFake-Omni: A Large-Scale Codec-based Deepfake Speech Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce CodecFake-Omni, a large-scale dataset specifically designed to advance the study of neural codec-based deepfake speech (CodecFake) detection and promote progress within the anti-spoofing community. |
JIAWEI DU et. al. | arxiv-cs.SD | 2025-01-14 |
| 4 | HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our research, we propose HFMF, a comprehensive two-stage deepfake detection framework that leverages both hierarchical cross-modal feature fusion and multi-stream feature extraction to enhance detection performance against imagery produced by state-of-the-art generative AI models. |
Anant Mehta; Bryant McArthur; Nagarjuna Kolloju; Zhengzhong Tu; | arxiv-cs.CV | 2025-01-09 |
| 5 | Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although vast amounts of audio data exist, the process of labeling samples as genuine or fake remains labor-intensive and costly. To address this challenge, we propose SIGNL (Spatio-temporal vIsion Graph Non-contrastive Learning), a novel framework that maintains high GNN performance in low-label settings. |
FALIH GOZI FEBRINANTO et. al. | arxiv-cs.SD | 2025-01-08 |
| 6 | Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, these models often lack interpretability, making it difficult to understand how predictions are made. To address these issues, we propose FakeSTormer, offering two key contributions. First, we introduce a multi-task learning framework with additional spatial and temporal branches that enable the model to focus on subtle spatio-temporal artifacts. |
Dat Nguyen; Marcella Astrid; Anis Kacem; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2025-01-02 |
| 7 | Towards Interactive Deepfake Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to explore interactive deepfake analysis by performing instruction tuning on multi-modal large language models (MLLMs). |
LIXIONG QIN et. al. | arxiv-cs.CV | 2025-01-02 |
| 8 | State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading Through Pros, Cons, and Future Prospects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Starting with a thorough examination of systematic literature review methodologies, we embark on a journey that delves into the complex technical intricacies inherent in the various techniques used for deepfake generation, comprehensively addressing the challenges faced, potential solutions available, and the nuanced details surrounding manipulation formulations. Subsequently, the paper is dedicated to accurately benchmarking leading approaches against prominent datasets, offering thorough assessments of the contributions that have significantly impacted these vital domains. |
HARSHIKA GOYAL et. al. | arxiv-cs.LG | 2025-01-01 |
| 9 | SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the biological concept of differential gene expression, where gene activation is dynamically regulated in response to environmental stimuli, we introduce the Selective Feature Expression Network (SFE-Net). |
Yuqi Li; Yuanzhong Zheng; Yaoxuan Wang; Jianjun Yin; Haojun Fei; | arxiv-cs.MM | 2024-12-30 |
| 10 | The Public Mental Representations of Deepfake Technology: An In-depth Qualitative Exploration Through Quora Text Data Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A qualitative method has been applied to unveil patterns, correlations, and recurring themes of beliefs about the main topic, deepfake, discussed on the forum Quora. |
BARBARA CACI et. al. | PloS one | 2024-12-30 |
| 11 | Machine and Deep Learning Algorithms for Sentiment Analysis During COVID-19: A Vision to Create Fake News Resistant Society Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, and attitudes … |
MUHAMMAD TAYYAB ZAMIR et. al. | PloS one | 2024-12-19 |
| 12 | Region-Based Optimization in Continual Learning for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although current models perform well, their effectiveness diminishes when confronted with the diverse and evolving nature of real-world deepfakes. To address this issue, we propose a continual learning method named Region-Based Optimization (RegO) for audio deepfake detection. |
YUJIE CHEN et. al. | arxiv-cs.SD | 2024-12-16 |
| 13 | What Constitutes A Deep Fake? The Blurry Line Between Legitimate Processing and Manipulation Under The EU AI Act Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We intend our analysis to foster the discussion on what constitutes a deep fake and to raise awareness about the pitfalls in the current AI Act transparency obligations. |
Kristof Meding; Christoph Sorge; | arxiv-cs.LG | 2024-12-13 |
| 14 | TSFF-Net: A Deep Fake Video Detection Model Based on Two-stream Feature Domain Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The code used in this study is available at: https://github.com/hwZHc/TSFF-Net.git. |
Hangchuan Zhang; Caiping Hu; Shiyu Min; Hui Sui; Guola Zhou; | PloS one | 2024-12-13 |
| 15 | Audios Don’t Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Especially in the financial and social security fields, the misuse of deepfake audios has raised serious concerns. To address this challenge, this study proposes an audio deepfake detection method based on multi-frequency channel attention mechanism (MFCA) and 2D discrete cosine transform (DCT). |
Yangguang Feng; | arxiv-cs.SD | 2024-12-12 |
| 16 | Is It The Model or The Metric — On Robustness Measures of Deeplearning Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we revisit robustness, specifically investigating the sufficiency of robust accuracy (RA), within the context of deepfake detection. |
Zhijin Lyu; Yutong Jin; Sneha Das; | arxiv-cs.LG | 2024-12-12 |
| 17 | DFREC: DeepFake Identity Recovery Based on Identity-aware Masked Autoencoder Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite enormous progress in detection accuracy across a wide variety of forgery algorithms, existing algorithms lack intuitive interpretability and identity traceability to help with forensic investigation. In this paper, we introduce a novel DeepFake Identity Recovery scheme (DFREC) to fill this gap. |
Peipeng Yu; Hui Gao; Zhitao Huang; Zhihua Xia; Chip-Hong Chang; | arxiv-cs.CV | 2024-12-10 |
| 18 | BENet: A Cross-domain Robust Network for Detecting Face Forgeries Via Bias Expansion and Latent-space Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response to the growing threat of deepfake technology, we introduce BENet, a Cross-Domain Robust Bias Expansion Network. |
WEIHUA LIU et. al. | arxiv-cs.CV | 2024-12-10 |
| 19 | Securing Social Media Against Deepfakes Using Identity, Behavioral, and Geometric Signatures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the generalizability of deepfake detection, there is a need for a holistic approach that can capture a broader range of facial attributes and manipulations beyond isolated artifacts. To address this, we propose a novel deepfake detection framework featuring an effective feature descriptor that integrates Deep identity, Behavioral, and Geometric (DBaG) signatures, along with a classifier named DBaGNet. |
Muhammad Umar Farooq; Awais Khan; Ijaz Ul Haq; Khalid Mahmood Malik; | arxiv-cs.CV | 2024-12-06 |
| 20 | GETAE: Graph Information Enhanced Deep Neural NeTwork Ensemble ArchitecturE for Fake News Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose to incorporate contextual and network-aware features into the detection process. |
Ciprian-Octavian Truică; Elena-Simona Apostol; Marius Marogel; Adrian Paschke; | arxiv-cs.AI | 2024-12-02 |
| 21 | Deepfake Media Generation and Detection in The Generative AI Era: A Survey and Outlook Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we survey deepfake generation and detection techniques, including the most recent developments in the field, such as diffusion models and Neural Radiance Fields. |
FLORINEL-ALIN CROITORU et. al. | arxiv-cs.CV | 2024-11-29 |
| 22 | Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To further improve detection, we introduce Contrastive Blur, which enhances performance on facial images, and MINDER (MINimum distance DetEctoR), which addresses noise type bias, balancing performance across domains. |
Chung-Ting Tsai; Ching-Yun Ko; I-Hsin Chung; Yu-Chiang Frank Wang; Pin-Yu Chen; | arxiv-cs.CV | 2024-11-28 |
| 23 | Comparative Analysis of ASR Methods for Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this connection is not yet entirely clear, and we do not know whether improved performance in ASR corresponds to higher speech deepfake detection capabilities. In this paper, we address this question through a systematic analysis. |
DAVIDE SALVI et. al. | arxiv-cs.SD | 2024-11-26 |
| 24 | MCGAN-a Cutting Edge Approach to Real Time Investigate of Multimedia Deepfake Multi Collaboration of Deep Generative Adversarial Networks with Transfer Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we utilize the powerful combination of Deep Generative Adversarial Networks (GANs) and Transfer Learning (TL) to introduce a new technique for identifying deepfakes in multimedia systems. |
SHAHID KARIM et. al. | Scientific reports | 2024-11-26 |
| 25 | LampMark: Proactive Deepfake Detection Via Training-Free Landmark Perceptual Watermarks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle the problem, this paper proposes a proactive Deepfake detection approach by introducing a novel training-free landmark perceptual watermark, LampMark for short. |
Tianyi Wang; Mengxiao Huang; Harry Cheng; Xiao Zhang; Zhiqi Shen; | arxiv-cs.CV | 2024-11-26 |
| 26 | Hindi Audio-video-Deepfake (HAV-DF): A Hindi Language-based Audio-video Deepfake Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, this paper aims to create a first novel Hindi deep fake dataset, named “Hindi audio-video-Deepfake” (HAV-DF). |
Sukhandeep Kaur; Mubashir Buhari; Naman Khandelwal; Priyansh Tyagi; Kiran Sharma; | arxiv-cs.SD | 2024-11-23 |
| 27 | A Statistical Analysis for Deepfake Videos Forgery Traces Recognition Followed By A Fine-tuned InceptionResNetV2 Detection Technique Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos are growing progressively more competent because of the rapid advancements in artificial intelligence and deep learning technology. This has led to substantial … |
Abhishek Kashyap; | Journal of forensic sciences | 2024-11-19 |
| 28 | Detecting Targeted Data Poisoning Attacks on Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep neural networks (DNNs) are widely used for various facial image-recognition purposes, including facial recognition and subsequent authentication, and the detection of altered … |
Sara Newman; | ||
| 29 | LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Both data sets consist of two classes containing real and fake facial images. In our study, two lightweight deep learning models are proposed to conduct forgery detection using these images. |
Günel Jabbarlı; Murat Kurt; | arxiv-cs.CV | 2024-11-18 |
| 30 | Towards Generalizable Face Forgery Detection Via Mitigating Spurious Correlation Related Papers Related Patents Related Grants Related Venues Related Experts View |
NINGNING BAI et. al. | Neural networks : the official journal of the International … | 2024-11-17 |
| 31 | DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel audio-visual deepfake detection framework that leverages the inter-modality differences in machine perception of speech, based on the assumption that in real samples – in contrast to deepfakes – visual and audio signals coincide in terms of information. |
Christos Koutlis; Symeon Papadopoulos; | arxiv-cs.CV | 2024-11-15 |
| 32 | How Good Is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we examine the detection capabilities of a large language model (LLM) (i.e., ChatGPT) to identify and account for any possible visual and auditory artifacts and manipulations in audiovisual deepfake content. |
Sahibzada Adil Shahzad; Ammarah Hashmi; Yan-Tsung Peng; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2024-11-14 |
| 33 | Robust AI-Synthesized Speech Detection Using Feature Decomposition Learning and Synthesizer Feature Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a robust deepfake speech detection method that employs feature decomposition to learn synthesizer-independent content features as complementary for detection. |
Kuiyuan Zhang; Zhongyun Hua; Yushu Zhang; Yifang Guo; Tao Xiang; | arxiv-cs.SD | 2024-11-13 |
| 34 | Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By bridging the gap between unimodal and multimodal approaches, this paper aims to improve the effectiveness of deepfake detection strategies and guide future research in cybersecurity and media integrity. |
Ammarah Hashmi; Sahibzada Adil Shahzad; Chia-Wen Lin; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2024-11-12 |
| 35 | A Multimodal Adaptive Graph-based Intelligent Classification Model for Fake News Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, studies focusing on graph-based structures using geometric deep learning are lacking. To address this challenge, we introduce the Multimodal Adaptive Graph-based Intelligent Classification (aptly referred to as MAGIC) for fake news detection. |
arxiv-cs.AI | 2024-11-09 | |
| 36 | Impact of Fake News on Social Media Towards Public Users of Different Age Groups Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The study assesses four models using a Kaggle dataset: Random Forest, Support Vector Machine (SVM), Neural Networks, and Logistic Regression. |
Kahlil bin Abdul Hakim; Sathishkumar Veerappampalayam Easwaramoorthy; | arxiv-cs.CL | 2024-11-08 |
| 37 | Toward Transdisciplinary Approaches to Audio Deepfake Discernment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This perspective calls for scholars across disciplines to address the challenge of audio deepfake detection and discernment through an interdisciplinary lens across Artificial … |
Vandana P. Janeja; Christine Mallinson; | arxiv-cs.SD | 2024-11-08 |
| 38 | CSTAN: A Deepfake Detection Network with CST Attention for Superior Generalization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advancement of deepfake forgery technology, highly realistic fake faces have posed serious security risks to sensor-based facial recognition systems. Recent deepfake … |
Rui Yang; Kang You; Cheng Pang; Xiaonan Luo; Rushi Lan; | Sensors (Basel, Switzerland) | 2024-11-05 |
| 39 | Ensemble Based High Performance Deep Learning Models for Fake News Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our research aims to investigate different techniques within machine learning, deep learning, and ensemble learning frameworks in Arabic fake news detection. |
Mohammed E Almandouh; Mohammed F Alrahmawy; Mohamed Eisa; Mohamed Elhoseny; A S Tolba; | Scientific reports | 2024-11-04 |
| 40 | Which LLMs Are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Using two datasets spanning four total writing domains, we train AI-generated (AIG) text classifiers using the LibAUC library – a deep learning library for training classifiers with imbalanced datasets. |
Shantanu Thorat; Tianbao Yang; | arxiv-cs.CL | 2024-10-18 |
| 41 | Capture Artifacts Via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these methods lack a solid disentanglement foundation and cannot guarantee the reliability of their disentangling process. To address these issues, a Deepfake detection method based on progressive disentangling and purifying blended identities is innovatively proposed in this paper. |
Weijie Zhou; Xiaoqing Luo; Zhancheng Zhang; Jiachen He; Xiaojun Wu; | arxiv-cs.CV | 2024-10-14 |
| 42 | Multi-feature Fusion Based Face Forgery Detection with Local and Global Characteristics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a deepfake detection method with the ability to comprehensively analyze the forgery face features, which integrates features in the space domain, noise domain, and frequency domain, and uses the Inception Transformer to learn the mix of global and local information dynamically. |
Yuanqing Ding; Fanliang Bu; Hanming Zhai; Zhiwen Hou; Yifan Wang; | PloS one | 2024-10-10 |
| 43 | Deepfake Detection in Videos with Multiple Faces Using Geometric-fakeness Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In existing approaches to a deepfake detection their performance deteriorates when multiple faces are present in a video simultaneously or when there are other objects erroneously classified as faces. In our research we propose to use geometric-fakeness features (GFF) that characterize a dynamic degree of a face presence in a video and its per-frame deepfake scores. |
Kirill Vyshegorodtsev; Dmitry Kudiyarov; Alexander Balashov; Alexander Kuzmin; | arxiv-cs.CV | 2024-10-10 |
| 44 | $\textit{X}^2$-DFD: A Framework for E${X}$plainable and E${X}$tendable Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we empirically assess the strengths and weaknesses of MLLMs specifically in deepfake detection via forgery features analysis. |
Yize Chen; Zhiyuan Yan; Siwei Lyu; Baoyuan Wu; | arxiv-cs.CV | 2024-10-08 |
| 45 | Herd Mentality in Augmentation — Not A Good Idea! A Robust Multi-stage Approach Towards Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an enhanced architecture based on the GenConViT model, which incorporates weighted loss and update augmentation techniques and includes masked eye pretraining. |
Rohan Raju Dhanakshirur; | arxiv-cs.CV | 2024-10-07 |
| 46 | SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, the black-box nature of existing models limits their use in real-world scenarios, where explanations are required for model decisions. To alleviate these issues, we introduce a new ADD model that explicitly uses the Style-LInguistics Mismatch (SLIM) in fake speech to separate them from real speech. |
Yi Zhu; Surya Koppisetti; Trang Tran; Gaurav Bharaj; | nips | 2024-10-07 |
| 47 | Can We Leave Deepfake Data Behind in Training Deepfake Detector? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we rethink the role of blendfake in detecting deepfakes and formulate the process from real to blendfake to deepfake to be a $\textit{progressive transition}$. |
JIKANG CHENG et. al. | nips | 2024-10-07 |
| 48 | A Destructive Active Defense Algorithm for Deepfake Face Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The harm caused by deepfake face images is increasing. To proactively defend against this threat, this paper innovatively proposes a destructive active defense algorithm for … |
Yang Yang; Norisma Binti Idris; Chang Liu; Hui Wu; Dingguo Yu; | PeerJ. Computer science | 2024-10-04 |
| 49 | A Multimodal Framework for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using our proposed models for video and audio classification i.e. Artificial Neural Network and VGG19, the overall sample is classified as deepfake if either component is identified as such. |
KASHISH GANDHI et. al. | arxiv-cs.CV | 2024-10-04 |
| 50 | Social Media Authentication and Combating Deepfakes Using Semi-fragile Invisible Image Watermarking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, we have proposed a semi-fragile image watermarking technique that embeds an invisible secret message into real images for media authentication. |
Aakash Varma Nadimpalli; Ajita Rattani; | arxiv-cs.CV | 2024-10-02 |
| 51 | Real Appearance Modeling for More General Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Namely, detectors should learn consistent real appearances rather than fake patterns in the training set that may not apply to unseen deepfakes. Guided by this principle, we propose a learning task named Real Appearance Modeling (RAM) that guides the model to learn real appearances by recovering original faces from slightly disturbed faces. |
JIAHE TIAN et. al. | eccv | 2024-09-30 |
| 52 | Fake It Till You Make It: Curricular Dynamic Forgery Augmentations Towards General Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a novel general deepfake detection method, called Curricular Dynamic Forgery Augmentation (CDFA), which jointly trains a deepfake detector with a forgery augmentation policy network. |
YUZHEN LIN et. al. | eccv | 2024-09-30 |
| 53 | Contrasting Deepfakes Diffusion Via Contrastive Learning and Global-Local Similarities Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose CoDE (Contrastive Deepfake Embeddings), a novel embedding space specifically designed for deepfake detection.To sustain the training of our model, we generate a comprehensive dataset that focuses on images generated by diffusion models and encompasses a collection of 9.2 million images produced by using four different generators. |
LORENZO BARALDI et. al. | eccv | 2024-09-30 |
| 54 | Common Sense Reasoning for Deep Fake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new annotated dataset and propose a Vision and Language Transformer-based framework for the DD-VQA task. |
Yue Zhang; Ben Colman; Xiao Guo; Ali Shahriyari; Gaurav Bharaj; | eccv | 2024-09-30 |
| 55 | SecureVision: Advanced Cybersecurity Deepfake Detection with Big Data Analytics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: SecureVision is an advanced and trustworthy deepfake detection system created to tackle the growing threat of ‘deepfake’ movies that tamper with media, undermine public trust, and … |
Naresh Kumar; Ankit Kundu; | Sensors (Basel, Switzerland) | 2024-09-29 |
| 56 | Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Still, the optimal way to apply these algorithms for speech deepfake detection remains unclear, and we do not know which is the best way to apply these algorithms to the developed models. In this paper we address this aspect and investigate whether, when retraining a speech deepfake detector, it is more effective to apply continual learning across the entire model or to update only some of its layers while freezing others. |
Davide Salvi; Viola Negroni; Luca Bondi; Paolo Bestagini; Stefano Tubaro; | arxiv-cs.SD | 2024-09-26 |
| 57 | Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The evolution of digital image manipulation, particularly with the advancement of deep generative models, significantly challenges existing deepfake detection methods, especially when the origin of the deepfake is obscure. To tackle the increasing complexity of these forgeries, we propose \textbf{Wavelet-CLIP}, a deepfake detection framework that integrates wavelet transforms with features derived from the ViT-L/14 architecture, pre-trained in the CLIP fashion. |
Lalith Bharadwaj Baru; Rohit Boddeda; Shilhora Akshay Patel; Sai Mohan Gajapaka; | arxiv-cs.CV | 2024-09-26 |
| 58 | A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on An Autonomous Vehicle Traffic Sign Classification System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, the authors present how a generative adversarial network-based deepfake attack can be crafted to fool the AV traffic sign classification systems. |
M Sabbir Salek; Shaozhi Li; Mashrur Chowdhury; | arxiv-cs.AI | 2024-09-25 |
| 59 | Leveraging Mixture of Experts for Improved Speech Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel approach for enhancing speech deepfake detection performance using a Mixture of Experts architecture. |
Viola Negroni; Davide Salvi; Alessandro Ilic Mezza; Paolo Bestagini; Stefano Tubaro; | arxiv-cs.SD | 2024-09-24 |
| 60 | Room Impulse Responses Help Attackers to Evade Deep Fake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper investigates the effectiveness of utilizing room impulse responses (RIRs) to enhance fake speech and increase their likelihood of evading fake speech detection systems. |
Hieu-Thi Luong; Duc-Tuan Truong; Kong Aik Lee; Eng Siong Chng; | arxiv-eess.AS | 2024-09-23 |
| 61 | A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: From our analysis, we propose hypotheses on leveraging and combining specific deep learning techniques to improve the effectiveness of Deepfake Speech Detection systems. Beyond conducting a survey, we perform extensive experiments to validate these hypotheses and propose a highly competitive model for the task of Deepfake Speech Detection. |
LAM PHAM et. al. | arxiv-cs.SD | 2024-09-23 |
| 62 | Deep Learning Technology for Face Forgery Detection: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an overview of deepfake techniques and analyse the characteristics of various deepfake datasets. |
LIXIA MA et. al. | arxiv-cs.CV | 2024-09-21 |
| 63 | Improving Synthetic Media Generation and Detection Using Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The article introduces an effective framework for both image manipulation and detection. |
Rabbia Zia; Mariam Rehman; Afzaal Hussain; Shahbaz Nazeer; Maria Anjum; | PeerJ. Computer science | 2024-09-20 |
| 64 | Shaking The Fake: Detecting Deepfake Videos in Real Time Via Active Probes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose SFake, a new real-time deepfake detection method that innovatively exploits deepfake models’ inability to adapt to physical interference. |
Zhixin Xie; Jun Luo; | arxiv-cs.CV | 2024-09-17 |
| 65 | SafeEar: Content Privacy-Preserving Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose SafeEar, a novel framework that aims to detect deepfake audios without relying on accessing the speech content within. |
XINFENG LI et. al. | arxiv-cs.CR | 2024-09-13 |
| 66 | D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA Under Transferable Imperceptible Adversarial Attack Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent research has proposed a D-CAPTCHA system based on the challenge-response protocol to differentiate fake phone calls from real ones. In this work, we study the resilience of this system and introduce a more robust version, D-CAPTCHA++, to defend against fake calls. |
Hong-Hanh Nguyen-Le; Van-Tuan Tran; Dinh-Thuc Nguyen; Nhien-An Le-Khac; | arxiv-cs.CR | 2024-09-11 |
| 67 | 1M-Deepfakes Detection Challenge Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on the recently released AV-Deepfake1M dataset, which contains more than 1 million manipulated videos across more than 2,000 subjects, we introduce the 1M-Deepfakes Detection Challenge. |
ZHIXI CAI et. al. | arxiv-cs.CV | 2024-09-10 |
| 68 | VoiceWukong: Benchmarking Deepfake Voice Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing datasets are limited in language diversity and lack many manipulations encountered in real-world production environments. To fill this gap, we propose VoiceWukong, a benchmark designed to evaluate the performance of deepfake voice detectors. |
Ziwei Yan; Yanjie Zhao; Haoyu Wang; | arxiv-cs.SD | 2024-09-10 |
| 69 | Continuous Learning of Transformer-based Audio Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a novel framework for audio deepfake detection with two main objectives: i) attaining the highest possible accuracy on available fake data, and ii) effectively … |
Tuan Duy Nguyen Le; Kah Kuan Teh; H. D. Tran; | ArXiv | 2024-09-09 |
| 70 | Active Fake: DeepFake Camouflage Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This tactic is called DeepFake Camouflage. To achieve this, we introduce a new framework for creating DeepFake camouflage that generates blending inconsistencies while ensuring imperceptibility, effectiveness, and transferability. |
Pu Sun; Honggang Qi; Yuezun Li; | arxiv-cs.CV | 2024-09-04 |
| 71 | Deepfake: Definitions, Performance Metrics and Standards, Datasets, and A Meta-review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) … |
Enes Altuncu; Virginia N L Franqueira; Shujun Li; | Frontiers in big data | 2024-09-04 |
| 72 | Speech Foundation Model Ensembles for The Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore the ensemble methods, utilizing speech foundation models to develop robust singing voice anti-spoofing systems. |
Anmol Guragain; Tianchi Liu; Zihan Pan; Hardik B. Sailor; Qiongqiong Wang; | arxiv-eess.AS | 2024-09-03 |
| 73 | Deepfake Detection: Enhancing Performance with Spatiotemporal Texture and Deep Learning Feature Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View |
Abdelwahab Almestekawy; H. Zayed; Ahmed Taha; | Egyptian Informatics Journal | 2024-09-01 |
| 74 | HarmoNet: Partial DeepFake Detection Network Based on Multi-scale HarmoF0 Feature Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Audio DeepFake detection (ADD) has become an increasingly challenging task recently, with the rise of various spoofing attacks utilizing artificially generated audio. The track 2 … |
Liwei Liu; Huihui Wei; Dongya Liu; Zhonghua Fu; | Interspeech 2024 | 2024-09-01 |
| 75 | AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection Using SSL Features and Additional Regularization for The ASVspoof 2024 Challenge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the advancement of deep learning algorithms has enabled the generation of synthetic audio through Text-to-Speech (TTS) and Voice Conversion (VC) systems, exposing ASV systems to potential vulnerabilities. To counteract this, we propose a novel architecture named AASIST3. |
KIRILL BORODIN et. al. | arxiv-cs.SD | 2024-08-30 |
| 76 | How to Detect Fake Online Physician Reviews: A Deep Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Yet, distinguishing between genuine and fake reviews poses a significant challenge. This study aims to address the challenges delineated above by developing a reliable and effective fake review detection model leveraging deep learning approaches based on a fake review dataset tailored to the context of Chinese online medical platforms. |
Yuehua Zhao; Tianyi Li; Qinjian Yuan; Sanhong Deng; | Digital health | 2024-08-30 |
| 77 | Detection of Real-time Deep Fakes and Face Forgery in Video Conferencing Employing Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Sunil Kumar Sharma; Abdullah AlEnizi; Manoj Kumar; Osama Alfarraj; Majed Alowaidi; | Heliyon | 2024-08-29 |
| 78 | Temporal Feature Prediction in Audio–Visual Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid growth of deepfake technology, generating realistic manipulated media, poses a significant threat due to potential misuse. Therefore, effective detection methods are … |
Yuan Gao; Xuelong Wang; Yu Zhang; Ping Zeng; Yingjie Ma; | Electronics | 2024-08-29 |
| 79 | Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we delve deeper into semantics-oriented multitask learning for DeepFake detection, leveraging the relationships among face semantics via joint embedding. |
Mian Zou; Baosheng Yu; Yibing Zhan; Siwei Lyu; Kede Ma; | arxiv-cs.CV | 2024-08-29 |
| 80 | SONICS: Synthetic Or Not – Identifying Counterfeit Songs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The recent surge in AI-generated songs presents exciting possibilities and challenges. While these inventions democratize music creation, they also necessitate the ability to … |
Md Awsafur Rahman; Zaber Ibn Abdul Hakim; Najibul Haque Sarker; Bishmoy Paul; S. Fattah; | ArXiv | 2024-08-26 |
| 81 | SONICS: Synthetic Or Not — Identifying Counterfeit Songs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Furthermore, we highlight the importance of modeling long-range temporal dependencies in songs for effective authenticity detection, an aspect overlooked in existing methods. To capture these patterns, we propose a novel model, SpecTTTra, that is up to 3 times faster and 6 times more memory efficient compared to popular CNN and Transformer-based models while maintaining competitive performance. |
Md Awsafur Rahman; Zaber Ibn Abdul Hakim; Najibul Haque Sarker; Bishmoy Paul; Shaikh Anowarul Fattah; | arxiv-cs.SD | 2024-08-26 |
| 82 | Analyzing The Impact of Splicing Artifacts in Partially Fake Speech Signals Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our findings reveal that by analyzing splicing artifacts, we can achieve a detection EER of 6.16% and 7.36% on PartialSpoof and HAD datasets, respectively, without needing to train any detector. |
Viola Negroni; Davide Salvi; Paolo Bestagini; Stefano Tubaro; | arxiv-cs.SD | 2024-08-25 |
| 83 | Exploring The Role of Audio in Multimodal Misinformation Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the constructed framework, this paper explores the importance of the audio modality in multimodal misinformation detection tasks on social media. |
MOYANG LIU et. al. | arxiv-cs.MM | 2024-08-22 |
| 84 | Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper investigate the effectiveness of current countermeasure (CM) against ALM-based audio. |
YUANKUN XIE et. al. | arxiv-cs.SD | 2024-08-20 |
| 85 | A Noval Feature Via Color Quantisation for Fake Audio Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a noval feature extraction method via color quantisation which constrains the reconstruction to use a limited number of colors for the spectral image-like input. |
ZHIYONG WANG et. al. | arxiv-cs.SD | 2024-08-20 |
| 86 | MAGE: Machine-generated Text Detection in The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we build a comprehensive testbed by gathering texts from diverse human writings and deepfake texts generated by different LLMs. |
YAFU LI et. al. | acl | 2024-08-20 |
| 87 | ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for The ASVspoof5 Challenge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the work carried out by the ASASVIcomtech team, made up of researchers from Vicomtech and University of Granada, for the ASVspoof5 Challenge. |
JUAN M. MARTÍN-DOÑAS et. al. | arxiv-eess.AS | 2024-08-19 |
| 88 | A New Approach for Deepfake Detection with The Choquet Fuzzy Integral Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes have become widespread and have continued to develop rapidly in recent years. In addition to the use of deepfakes in movies and for humorous purposes, this technology … |
Mehmet Karaköse; Ismail Ilhan; Hasan Yetiş; Serhat Ataş; | Applied Sciences | 2024-08-16 |
| 89 | Penny-Wise and Pound-Foolish in Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper critiques the overly specialized approach of fine-tuning pre-trained models solely with a penny-wise objective on a single deepfake dataset, while disregarding the pound-wise balance for generalization and knowledge retention. To address this Penny-Wise and Pound-Foolish issue, we propose a novel learning framework (PoundNet) for generalization of deepfake detection on a pre-trained vision-language model. |
Yabin Wang; Zhiwu Huang; Su Zhou; Adam Prugel-Bennett; Xiaopeng Hong; | arxiv-cs.CV | 2024-08-15 |
| 90 | WavLM Model Ensemble for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we address the issue of audio deepfake detection as it was set in the ASVspoof5 challenge. |
David Combei; Adriana Stan; Dan Oneata; Horia Cucu; | arxiv-eess.AS | 2024-08-14 |
| 91 | GazeForensics: DeepFake Detection Via Gaze-guided Spatial Inconsistency Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qinlin He; Chunlei Peng; Decheng Liu; Nannan Wang; Xinbo Gao; | Neural networks : the official journal of the International … | 2024-08-14 |
| 92 | Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Herein, we propose the introduction of fine-grained mechanisms for detecting subtle artifacts in both spatial and temporal domains. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2024-08-13 |
| 93 | Daily Briefing: Deepfakes Hawk Fake Drugs Using Scientists’ Faces Related Papers Related Patents Related Grants Related Venues Related Experts View |
Flora Graham; | Nature | 2024-08-13 |
| 94 | IDRetracor: Towards Visual Forensics Against Malicious Face Swapping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve visual forensics and target face attribution, we propose a novel task named face retracing, which considers retracing the original target face from the given fake one via inverse mapping. |
JIKANG CHENG et. al. | arxiv-cs.CV | 2024-08-13 |
| 95 | ADD 2023: Towards Audio Deepfake Detection and Analysis in The Wild Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The ADD 2023 challenge goes beyond binary real/fake classification by emulating real-world scenarios, such as the identification of manipulated intervals in partially fake audio and determining the source responsible for generating any fake audio, both with real-life implications, notably in audio forensics, law enforcement, and construction of reliable and trustworthy evidence. To further foster research in this area, in this article, we describe the dataset that was used in the fake game, manipulation region location and deepfake algorithm recognition tracks of the challenge. |
JIANGYAN YI et. al. | arxiv-eess.AS | 2024-08-09 |
| 96 | DeepSpeak Dataset V1.0 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a large-scale dataset–DeepSpeak–of real and deepfake footage of people talking and gesturing in front of their webcams. |
Sarah Barrington; Matyas Bohacek; Hany Farid; | arxiv-cs.CV | 2024-08-09 |
| 97 | Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, existing Deepfake detection methods struggle to detect unknown domain Deepfake videos while accurately locating the tampered region. To address this limitation, we propose Delocate, a novel Deepfake detection model that can both recognize and localize unknown domain Deepfake videos. |
JUAN HU et. al. | ijcai | 2024-08-03 |
| 98 | Multiple Contexts and Frequencies Aggregation Network ForDeepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose an efficient network for face forgery detection named MkfaNet, which consists of two core modules. |
Zifeng Li; Wenzhong Tang; Shijun Gao; Shuai Wang; Yanxiang Wang; | arxiv-cs.CV | 2024-08-03 |
| 99 | IFakeDetector: Real Time Integrated Web-based Deepfake Detection System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we developed a real time integrated web-based deepfake detection system, iFakeDetector, which incorporates the recent high performing deepfake detectors, and enables easy access for non-expert users to evaluate deepfake videos. |
Kangjun Lee; Inho Jung; Simon S. Woo; | ijcai | 2024-08-03 |
| 100 | Pluggable Watermarking of Deepfake Models for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a pluggable and efficient active model watermarking framework for Deepfake detection. |
HAN BAO et. al. | ijcai | 2024-08-03 |
| 101 | Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel multi-modal attention framework based on recurrent neural networks (RNNs) that leverages contextual information for audio-visual deepfake detection. |
Vinaya Sree Katamneni; Ajita Rattani; | arxiv-cs.SD | 2024-08-02 |
| 102 | Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake has become an emerging technology affecting cyber-security with its illegal applications in recent years. Most deepfake detectors utilize CNN-based models such as the … |
Liang Yu Gong; Xue Jun Li; P. H. Chong; | Electronics | 2024-08-01 |
| 103 | Fake News or Real? Detecting Deepfake Videos Using Geometric Facial Structure and Graph Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shahela Saif; Samabia Tehseen; Syed Sohaib Ali; | Technological Forecasting and Social Change | 2024-08-01 |
| 104 | Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In today’s fast-paced world, the Internet has become a prevalent source of information for people worldwide. With the increasing use of various applications, people can get … |
Muhammad Babar; Awais Ahmad; M. Tariq; Sarah Kaleem; | IEEE Transactions on Computational Social Systems | 2024-08-01 |
| 105 | Conditioned Prompt-Optimization for Continual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Prompt2Guard, a novel solution for exemplar-free continual deepfake detection of images, that leverages Vision-Language Models (VLMs) and domain-specific multimodal prompts. |
Francesco Laiti; Benedetta Liberatori; Thomas De Min; Elisa Ricci; | arxiv-cs.CV | 2024-07-31 |
| 106 | Assessing The Effectiveness of Network Security Tools in Mitigating The Impact of Deepfakes AI on Public Trust in Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rising threat of deepfake technology challenges public trust in media, necessitating robust countermeasures. This study proposes the Anti-DFK framework, a comprehensive … |
Amaka Debie Samuel-Okon; Oluwaseun Ibrahim Akinola; O. O. Olaniyi; O. O. Olateju; Samson Abidemi Ajayi; | Archives of Current Research International | 2024-07-27 |
| 107 | Real-Time Deepfake Video Detection Using Eye Movement Analysis with A Hybrid Deep Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology uses artificial intelligence to create realistic but false audio, images, and videos. Deepfake technology poses a significant threat to the authenticity of … |
Muhammad Javed; Zhaohui Zhang; Fida Hussain Dahri; Asif Ali Laghari; | Electronics | 2024-07-26 |
| 108 | Deep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract—The following paper considers an in-depth study of face detection and classification using a pre-trained VGG16 model with a prime focus on separating real from fake … |
Daksh Baveja,; Yatharth Sharma; Dr. Nagadevi S; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-07-20 |
| 109 | Deep Fake Detection Using An Optimal Deep Learning Model with Multi Head Attention-based Feature Extraction Scheme Related Papers Related Patents Related Grants Related Venues Related Experts View |
R. Sekar; T. Rajkumar; Koteswara Rao Anne; | The Visual Computer | 2024-07-17 |
| 110 | Statistics-aware Audio-visual Deepfake Detector Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an enhanced audio-visual deep detection method. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.CV | 2024-07-16 |
| 111 | Exploring The Impact of Moire Pattern on Deepfake Detectors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we investigate how camera-captured deepfake videos from digital screens affect detector performance. |
Razaib Tariq; Shahroz Tariq; Simon S. Woo; | arxiv-cs.CV | 2024-07-14 |
| 112 | Video and Audio Deepfake Datasets and Open Issues in Deepfake Technology: Being Ahead of The Curve Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are extensively being harnessed across a diverse range of domains, e.g., forensic … |
Zahid Akhtar; Thanvi Lahari Pendyala; Virinchi Sai Athmakuri; | Forensic Sciences | 2024-07-13 |
| 113 | Targeted Augmented Data for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To enhance the generalization capabilities of audio deepfake detectors, we propose a novel augmentation method for generating audio pseudo-fakes targeting the decision boundary of the model. |
Marcella Astrid; Enjie Ghorbel; Djamila Aouada; | arxiv-cs.SD | 2024-07-10 |
| 114 | Synthetic Speech Detection Using Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the proliferation of synthetic speech has raised concerns regarding its potential misuse for unethical activities including voice impersonation and deep fake … |
Irina Mutica; Serban Mihalache; D. Burileanu; | 2024 47th International Conference on Telecommunications … | 2024-07-10 |
| 115 | Source Tracing of Audio Deepfake Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a system designed to classify various spoofing attributes, capturing the distinctive features of individual modules throughout the entire generation pipeline. |
Nicholas Klein; Tianxiang Chen; Hemlata Tak; Ricardo Casal; Elie Khoury; | arxiv-eess.AS | 2024-07-10 |
| 116 | Learning Self-distilled Features for Facial Deepfake Detection Using Visual Foundation Models: General Results and Demographic Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence. … |
Y. M. B. G. CUNHA et. al. | J. Interact. Syst. | 2024-07-09 |
| 117 | Detection of Deepfake Videos Using Long-Distance Attention IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this article, the problem is treated as a special fine-grained classification problem since the differences between fake and real faces are very subtle. |
WEI LU et. al. | IEEE transactions on neural networks and learning systems | 2024-07-08 |
| 118 | The Tug-of-War Between Deepfake Generation and Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We advocate for a proactive approach in the tug-of-war between deepfake creators and detectors, emphasizing the need for continuous research collaboration, standardization of evaluation metrics, and the creation of comprehensive benchmarks. |
HANNAH LEE et. al. | arxiv-cs.CV | 2024-07-08 |
| 119 | Detecting and Grounding Multi-Modal Media Manipulation and Beyond IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we highlight a new research problem for multi-modal fake media, namely Detecting and Grounding Multi-Modal Media Manipulation (DGM ). |
Rui Shao; Tianxing Wu; Jianlong Wu; Liqiang Nie; Ziwei Liu; | IEEE transactions on pattern analysis and machine … | 2024-07-02 |
| 120 | Adversarial Magnification to Deceive Deepfake Detection Through Super Resolution Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel attack using super resolution as a quick, black-box and effective method to camouflage fake images and/or generate false alarms on pristine images. |
Davide Alessandro Coccomini; Roberto Caldelli; Giuseppe Amato; Fabrizio Falchi; Claudio Gennaro; | arxiv-cs.CV | 2024-07-02 |
| 121 | Texture and Artifact Decomposition for Improving Generalization in Deep-learning-based Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
JIE GAO et. al. | Eng. Appl. Artif. Intell. | 2024-07-01 |
| 122 | Golden Ratio Based Deep Fake Video Detection System with Fusion of Capsule Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Samet Dinçer; Guzin Ulutas; Beste Ustubioglu; Gul Tahaoglu; Nicolas Sklavos; | Comput. Electr. Eng. | 2024-07-01 |
| 123 | Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a deep learning based system for the task of deepfake audio detection. |
Lam Pham; Phat Lam; Truong Nguyen; Huyen Nguyen; Alexander Schindler; | arxiv-cs.SD | 2024-07-01 |
| 124 | Multimodal Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Deepfake technology has become a significant threat to the integrity of multimedia content, posing challenges to areas such as cybersecurity, media forensics, and … |
PROF. SNEHA G et. al. | International Journal for Research in Applied Science and … | 2024-06-30 |
| 125 | SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats Via Intelligent Signatures Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a defense mechanism, SecureSpectra, addressing DF threats by embedding orthogonal, irreversible signatures within audio. |
Oguzhan Baser; Kaan Kale; Sandeep P. Chinchali; | arxiv-cs.CR | 2024-06-30 |
| 126 | Deepfake Detection Using Integrate-backward-integrate Logic Optimization Algorithm with CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emergence of deepfake technology has spurred the need for robust and adaptive methods to detect manipulated media content. This study explores the integration of the … |
R. U. MAHESHWARI et. al. | International Journal of Electrical and Electronics Research | 2024-06-28 |
| 127 | Generalized Deepfake Attribution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This seed dependency issue made it difficult to attribute deepfakes with existing methods. We proposed a generalized deepfake attribution network (GDA-N et) to attribute fake images to their respective GAN architectures, even if they are generated from a retrained version of the GAN architecture with a different seed (cross-seed) or from the fine-tuned version of the existing GAN model. |
Sowdagar Mahammad Shahid; Sudev Kumar Padhi; Umesh Kashyap; Sk. Subidh Ali; | arxiv-cs.CV | 2024-06-26 |
| 128 | PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, there is a growing demand for real-world applications to detect unseen individuals, deepfake techniques, and scenarios. To address this limitation, we propose a Prototype-based Unified Framework for Deepfake Detection (PUDD). |
Alvaro Lopez Pellcier; Yi Li; Plamen Angelov; | arxiv-cs.CV | 2024-06-22 |
| 129 | The Negative Impact of Deepfake Technology on The Reputation of Prominent Figures on Social Media Platforms: An Analytical Study on A Sample of Fabricated Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This research paper explores the detrimental impact of deepfake technology on the reputation of prominent figures on social media platforms. The rapid advancement of deepfake … |
Djamila kadem; Kafia mohamed eltaib Lassouane; | Journal of Science and Knowledge Horizons | 2024-06-20 |
| 130 | A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper addresses the challenge of developing a robust audio-visual deepfake detection model. |
Kyungbok Lee; You Zhang; Zhiyao Duan; | arxiv-cs.SD | 2024-06-20 |
| 131 | Media Forensics and Deepfake Systematic Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a generative deep learning algorithm that creates or changes facial features in a very realistic way making it hard to differentiate the real from the fake features It … |
NADEEM JABBAR CH et. al. | arxiv-cs.CV | 2024-06-19 |
| 132 | An Approach to Deepfake Video Detection Based on ACO-PSO Features and Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of deepfake technology presents significant challenges in detecting highly convincing fake videos, posing risks such as misinformation, identity theft, and … |
Hanan Saleh Alhaji; Yüksel Çelik; Sanjay Goel; | Electronics | 2024-06-19 |
| 133 | Review of Existing Methods for Generating and Detecting Fake and Partially Fake Audio Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Using deep-learning technologies, both text-to-speech (TTS) and voice conversion (VC) methods can generate fake speech effectively, making it challenging to differentiate between … |
Abdulazeez Alali; George Theodorakopoulos; | Proceedings of the 10th ACM International Workshop on … | 2024-06-19 |
| 134 | Straight Through Gumbel Softmax Estimator Based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the Straight-through Gumbel-Softmax (STGS) framework, offering a comprehensive approach to search multimodal fusion model architectures. |
Aravinda Reddy PN; Raghavendra Ramachandra; Krothapalli Sreenivasa Rao; Pabitra Mitra; Vinod Rathod; | arxiv-cs.SD | 2024-06-19 |
| 135 | Deepfake Catcher: Can A Simple Fusion Be Effective and Outperform Complex DNNs? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite having completely different configurations, deep learning architectures learn a specific set of features that are common across architectures. For example, the initial few … |
Akshay Agarwal; N. Ratha; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 136 | Detection of Fake Face Images Using Lightweight Convolutional Neural Networks with Stacking Ensemble Learning Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Images and videos containing fake faces are the most common type of digital manipulation. Such content can lead to negative consequences by spreading false information. The use of … |
Emre Şafak; Necaattin Barışçı; | PeerJ. Computer science | 2024-06-17 |
| 137 | Latent Flow Diffusion for Deepfake Video Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-video generation with conditional identity swap popularly known as deepfake, aims to synthesize a new video for the target identity guided by an image of the target and a … |
Aashish Chandra K; Aashutosh A V; Srijan Das; Abhijit Das; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 138 | Quality-based Artifact Modeling for Facial Deepfake Detection in Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Facial deepfakes are becoming more and more realistic, to the point that it is often difficult for humans to distinguish between a fake and a real video. However, it is … |
S. CONCAS et. al. | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 139 | Beyond The Screen: Evaluating Deepfake Detectors Under Moiré Pattern Effects Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of deepfakes is crucial for mitigating the societal impact of falsified video content. Despite the development of various algorithms for this purpose, challenges … |
Razaib Tariq; Minji Heo; Simon S. Woo; Shahroz Tariq; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 140 | Building Secure and Engaging Video Communication By Using Monitor Illumination Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we develop a neural network that can detect a mismatch between the light emitted from a monitor and the light reflected from the face of a user sitting in front of … |
JUN MYEONG CHOI et. al. | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 141 | Exploiting Style Latent Flows for Generalizing Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a new approach for the detection of fake videos based on the analysis of style latent vectors and their abnormal behavior in temporal changes in the generated videos. |
Jongwook Choi; Taehoon Kim; Yonghyun Jeong; Seungryul Baek; Jongwon Choi; | cvpr | 2024-06-13 |
| 142 | Contrastive Learning for DeepFake Classification and Localization Via Multi-Label Ranking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a unified approach to simultaneously addressing the conventional setting of binary deepfake classification and a more challenging scenario of uncovering what facial components have been forged as well as the exact order of the manipulations. |
Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu; | cvpr | 2024-06-13 |
| 143 | AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Audio-Visual Feature Fusion (AVFF) a two-stage cross-modal learning method that explicitly captures the correspondence between the audio and visual modalities for improved deepfake detection. |
TREVINE OORLOFF et. al. | cvpr | 2024-06-13 |
| 144 | Real-Time Deepfake Detection in The Real-World Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent improvements in generative AI made synthesizing fake images easy; as they can be used to cause harm, it is crucial to develop accurate techniques to identify them. This paper introduces Locally Aware Deepfake Detection Algorithm (LaDeDa), that accepts a single 9×9 image patch and outputs its deepfake score. |
Bar Cavia; Eliahu Horwitz; Tal Reiss; Yedid Hoshen; | arxiv-cs.CV | 2024-06-13 |
| 145 | Zero-Shot Fake Video Detection By Audio-Visual Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel zero-shot detection approach anchored in content consistency across audio and video. |
XIAOLOU LI et. al. | arxiv-cs.SD | 2024-06-12 |
| 146 | FakeSound: Deepfake General Audio Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the proliferation of deepfake general audio can pose negative consequences. Therefore, we propose a new task, deepfake general audio detection, which aims to identify whether audio content is manipulated and to locate deepfake regions. |
ZEYU XIE et. al. | arxiv-cs.SD | 2024-06-12 |
| 147 | Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Codecfake dataset, which is generated by seven representative neural codec methods. |
YI LU et. al. | arxiv-cs.SD | 2024-06-12 |
| 148 | PUFshield: A Hardware-Assisted Approach for Deepfake Mitigation Through PUF-Based Facial Feature Attestation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake has emerged as a threat to individual’s privacy and identity. It uses advanced deep learning algorithms to synthesize visual, text, and audio from multimedia content in a … |
Venkata K. V. V. Bathalapalli; V. P. Yanambaka; S. Mohanty; E. Kougianos; | Proceedings of the Great Lakes Symposium on VLSI 2024 | 2024-06-12 |
| 149 | Continuous Fake Media Detection: Adapting Deepfake Detectors to New Generative Techniques Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This rapid advancement severely limits the application of deepfake detectors, which, despite numerous efforts by the scientific community, struggle to achieve sufficiently robust performance against the ever-changing content. To address these limitations, in this paper, we propose an analysis of two continuous learning techniques on a Short and a Long sequence of fake media. |
Francesco Tassone; Luca Maiano; Irene Amerini; | arxiv-cs.CV | 2024-06-12 |
| 150 | Cortical-striatal Brain Network Distinguishes Deepfake from Real Speaker Identity Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are viral ingredients of digital environments, and they can trick human cognition into misperceiving the fake as real. Here, we test the neurocognitive sensitivity of 25 … |
Claudia Roswandowitz; Thayabaran Kathiresan; Elisa Pellegrino; Volker Dellwo; Sascha Frühholz; | Communications biology | 2024-06-11 |
| 151 | CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the open question of whether current SOTA anti-spoofing models can effectively counter deepfake audios from codec-based speech synthesis systems remains unanswered. In this paper, we curate an extensive collection of contemporary SOTA codec models, employing them to re-create synthesized speech. |
Haibin Wu; Yuan Tseng; Hung-yi Lee; | arxiv-eess.AS | 2024-06-11 |
| 152 | Explore The World of Audio Deepfakes: A Guide to Detection Techniques for Non-Experts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Audio deepfakes are becoming increasingly prevalent, posing a threat to companies who may fall victim to CEO fraud, as well as individuals who may be targeted by voice scams. As a … |
Karla Schäfer; Jeong-Eun Choi; Sascha Zmudzinski; | Proceedings of the 3rd ACM International Workshop on … | 2024-06-10 |
| 153 | RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes an end-to-end bidirectional state space model, named RawBMamba, to capture both short- and long-range discriminative information for audio deepfake detection. |
YUJIE CHEN et. al. | arxiv-cs.SD | 2024-06-10 |
| 154 | Faster Than Lies: Real-time Deepfake Detection Using Binary Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While existing methods focus on large and complex models, the need for real-time detection demands greater efficiency. With this in mind, unlike previous work, we introduce a novel deepfake detection approach on images using Binary Neural Networks (BNNs) for fast inference with minimal accuracy loss. |
Lanzino Romeo; Fontana Federico; Diko Anxhelo; Marini Marco Raoul; Cinque Luigi; | arxiv-cs.CV | 2024-06-07 |
| 155 | AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Audio-Visual Feature Fusion (AVFF), a two-stage cross-modal learning method that explicitly captures the correspondence between the audio and visual modalities for improved deepfake detection. |
TREVINE OORLOFF et. al. | arxiv-cs.CV | 2024-06-05 |
| 156 | Fully Unsupervised Deepfake Video Detection Via Enhanced Contrastive Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, Deepfake videos are widely spread over the Internet, which severely impairs the public trustworthiness and social security. Although more and more reliable detectors … |
Tong Qiao; Shichuang Xie; Yanli Chen; Florent Retraint; Xiangyang Luo; | IEEE transactions on pattern analysis and machine … | 2024-06-05 |
| 157 | Improved Deepfake Video Detection Using Convolutional Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are hyper-realistic videos in which the faces are replaced, swapped, or forged using deep-learning models. This potent media manipulation techniques hold promise for … |
Deressa Wodajo; Peter Lambert; G. V. Wallendael; Solomon Atnafu; Hannes Mareen; | 2024 IEEE Gaming, Entertainment, and Media Conference (GEM) | 2024-06-05 |
| 158 | Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: -The expeditious progress in facial image generation and exploitation has now come to a point where it raises serious concerns to the social and political society. This leads to … |
Prerna Kumari; Vikas Kumar; | International Journal of Science and Research (IJSR) | 2024-06-05 |
| 159 | Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the rapid evolution of deepfake algorithms poses a critical challenge in the accurate identification of out-of-distribution (OOD) novel deepfake algorithms. In this paper, we propose Real Emphasis and Fake Dispersion (REFD) strategy for audio deepfake algorithm recognition, demonstrating its effectiveness in discriminating ID samples while identifying OOD samples. |
YUANKUN XIE et. al. | arxiv-cs.SD | 2024-06-05 |
| 160 | CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Current SVDD datasets face challenges due to limited controllability, diversity in deepfake methods, and licensing restrictions. Addressing these gaps, we introduce CtrSVDD, a large-scale, diverse collection of bonafide and deepfake singing vocals. |
YONGYI ZANG et. al. | arxiv-eess.AS | 2024-06-04 |
| 161 | Bi-Source Reconstruction-Based Classification Network for Face Forgery Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current methods for detecting deep fakes concentrate on specific patterns of forgery like noise characteristics, local textures, or frequency statistics. These approaches assume … |
Dongming Zhang; Chenqin Fu; Dingyu Lu; Jun Li; Yongdong Zhang; | IEEE Transactions on Circuits and Systems for Video … | 2024-06-01 |
| 162 | CodeDetector: Revealing Forgery Traces with Codebook for Generalized Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The malicious use of deepfake technologies poses a significant threat to social security, emphasizing the urgent necessity to advance deepfake detection. Existing detection models … |
Jiaxin Li; Zhihan Yu; Guibo Luo; Yuesheng Zhu; | Proceedings of the 2024 International Conference on … | 2024-05-30 |
| 163 | Overview of The Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Information disorder is one of the most typical challenges in the current era of science and technology. The amount of information on the internet is increasing, but its … |
DUC-TIEN DANG-NGUYEN et. al. | Proceedings of the 2024 International Conference on … | 2024-05-30 |
| 164 | Video Detection Method Based on Temporal and Spatial Foundations for Accurate Verification of Authenticity Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of deepfake technology, it is finding applications in virtual movie production and entertainment. However, its potential for malicious use, such as … |
Chin-Yuan Lin; Jen-Chun Lee; Shuenn-Jyi Wang; Chung-Shi Chiang; Chao-Lung Chou; | Electronics | 2024-05-30 |
| 165 | Deepfake Forensics: A Survey of Digital Forensic Methods for Multimodal Deepfake Identification on Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of deepfake technology poses an escalating threat of misinformation and fraud enabled by manipulated media. Despite the risks, a comprehensive understanding … |
Shavez Mushtaq Qureshi; Atif Saeed; Sultan H Almotiri; Farooq Ahmad; Mohammed A Al Ghamdi; | PeerJ. Computer science | 2024-05-27 |
| 166 | INDIFACE: Illuminating India’s Deepfake Landscape with A Comprehensive Synthetic Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the recent progress in Deepfake generation, several datasets and manipulation techniques have been proposed in the recent literature with various effective face-swap and … |
KARTIK KUCKREJA et. al. | 2024 IEEE 18th International Conference on Automatic Face … | 2024-05-27 |
| 167 | Deepfake Detection Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of deep fakes, which are synthetic media generated using deep learning techniques, has become increasingly important due to their potential to deceive and manipulate … |
Dr. B. M Vidyavathi; Mr. Adnaan Faisal Ahmed; Ms. Lulu Ayain T; Ms. Syeda Mehraj Fatima; | International Journal of Advanced Research in Science, … | 2024-05-25 |
| 168 | AVSecure: An Audio-Visual Watermarking Framework for Proactive Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rise of Deepfake technology presents a significant challenge to the integrity of information. Most existing Deepfake detection methods rely on visual artifacts to distinguish … |
Bofei Guo; Haoxuan Tai; Guibo Luo; Yuesheng Zhu; | 2024 IEEE 14th International Conference on Electronics … | 2024-05-24 |
| 169 | Deep Fake Detection for Preventing Audio and Video Frauds Using Advanced Deep Learning Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes allow for the automated gen- eration of fake video content, often accomplished through the use of generative adversarial networks. To address the increasing issue of … |
ANUSHA O. VAIDYA et. al. | 2024 IEEE Recent Advances in Intelligent Computational … | 2024-05-16 |
| 170 | PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: With the rapid advancement of generative AI, multimodal deepfakes, which manipulate both audio and visual modalities, have drawn increasing public concern. Currently, deepfake … |
YANG HOU et. al. | ArXiv | 2024-05-14 |
| 171 | Towards Robust Audio Deepfake Detection: A Evolving Benchmark for Continual Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Continual learning, which acts as an effective tool for detecting newly emerged deepfake audio while maintaining performance on older types, lacks a well-constructed and user-friendly evaluation framework. To address this gap, we introduce EVDA, a benchmark for evaluating continual learning methods in deepfake audio detection. |
Xiaohui Zhang; Jiangyan Yi; Jianhua Tao; | arxiv-cs.SD | 2024-05-14 |
| 172 | Spatiotemporal Inconsistency Learning and Interactive Fusion for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rise of the metaverse, the rapid advancement of Deepfakes technology has become closely intertwined. Within the metaverse, individuals exist in digital form and engage in … |
DENGYONG ZHANG et. al. | ACM Transactions on Multimedia Computing, Communications … | 2024-05-13 |
| 173 | Detecting Music Deepfakes Is Easy But Actually Hard Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper demonstrates the possibility (and surprising ease) of training classifiers on datasets comprising real audio and fake reconstructions, achieving a convincing accuracy of 99.8%. |
Darius Afchar; Gabriel Meseguer-Brocal; Romain Hennequin; | arxiv-cs.SD | 2024-05-07 |
| 174 | Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present our findings by comparing human observers to five state-ofthe-art audiovisual deepfake detection models. |
Ammarah Hashmi; Sahibzada Adil Shahzad; Chia-Wen Lin; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2024-05-07 |
| 175 | Deep Fake Detection Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is an effective method that is broadly used across a wide range of areas, i.e., computer vision, machine vision, and natural language processing. Deepfakes is an … |
Mr.Gopi K; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-05-06 |
| 176 | A Hybrid CNN-LSTM Approach for Deepfake Audio Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As synthetic media techniques advance, the detection of manipulated audio content, known as deepfake audio, has become increasingly important. With the rise of challenges in … |
Madhura Chitale; Aakanksha Dhawale; Manushree Dubey; Sunil Ghane; | 2024 3rd International Conference on Artificial … | 2024-05-03 |
| 177 | Training-Free Deepfake Voice Recognition By Leveraging Large-Scale Pre-Trained Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study the potential of large-scale pre-trained models for audio deepfake detection, with special focus on generalization ability. |
Alessandro Pianese; Davide Cozzolino; Giovanni Poggi; Luisa Verdoliva; | arxiv-cs.SD | 2024-05-03 |
| 178 | Video Based Evidence Analysis and Extraction in Digital Forensic Investigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid advancement of technology and the ease of creating fake content, the manipulation of media has become widespread in recent times. The emergence of AI-altered … |
VENKATA KIRAN S et. al. | Sri Venkatesa Perumal College of Engineering and Technology | 2024-05-02 |
| 179 | In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection Under Rebalanced Deepfake Detection Protocol Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current deepfake detectors, intentionally or inadvertently, rely on such artifacts for detection, as they are exclusive to deepfakes and absent in genuine examples. To bridge this gap, we introduce the Rebalanced Deepfake Detection Protocol (RDDP) to stress-test detectors under balanced scenarios where genuine and forged examples bear similar artifacts. |
Wei-Han Wang; Chin-Yuan Yeh; Hsi-Wen Chen; De-Nian Yang; Ming-Syan Chen; | arxiv-cs.CV | 2024-05-01 |
| 180 | Refining Localized Attention Features with Multi-Scale Relationships for Enhanced Deepfake Detection in Spatial-Frequency Domain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of deep learning and large-scale AI models has simplified the creation and manipulation of deepfake technologies, which generate, edit, and replace faces in … |
Yuan Gao; Yu Zhang; Ping Zeng; Yingjie Ma; | Electronics | 2024-05-01 |
| 181 | A Multidisciplinary Look at History and Future of Deepfake With Gartner Hype Cycle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake has been swiftly advanced, misused, and democratized, which created overhype around it. To separate the overhype from reality, this study presents a multidisciplinary … |
Can Yavuz; | IEEE Security & Privacy | 2024-05-01 |
| 182 | Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose a new framework for evaluating the performance of explanation methods on the decisions of a deepfake detector. |
Konstantinos Tsigos; Evlampios Apostolidis; Spyridon Baxevanakis; Symeon Papadopoulos; Vasileios Mezaris; | arxiv-cs.CV | 2024-04-29 |
| 183 | Compressed Deepfake Video Detection Based on 3D Spatiotemporal Trajectories Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The misuse of deepfake technology by malicious actors poses a potential threat to nations, societies, and individuals. However, existing methods for detecting deepfakes primarily … |
Zongmei Chen; Xin Liao; Xiaoshuai Wu; Yanxiang Chen; | ArXiv | 2024-04-28 |
| 184 | Deep Fake Image Classification Engine Using Inception-ResNet-V1 Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The goal of this project is to develop a real or fake facial image classification system using deep learning techniques. The main focus is on the InceptionResnetVl model … |
Kothandaraman D; S. S. Narayanan; Mohamed Iqbal M; Ayesha Yekopalli; Sri Krishnadevarayalu S; | 2024 International Conference on Computing and Data Science … | 2024-04-26 |
| 185 | On The Way to Deep Fake Democracy? Deep Fakes in Election Campaigns in 2023 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mateusz Łabuz; Christopher Nehring; | European Political Science | 2024-04-26 |
| 186 | A Hybrid CNN-LSTM Approach for Precision Deepfake Image Detection Based on Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of deepfake images and videos is a critical concern in social communication due to the widespread utilization of deepfake techniques. The prevalence of these methods … |
Omar Alfarouk Hadi Hasan Al-Dulaimi; S. Kurnaz; | Electronics | 2024-04-25 |
| 187 | An Analysis of Recent Advances in Deepfake Image Detection in An Evolving Threat Landscape Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This has triggered several research efforts to accurately detect deepfake images, achieving excellent performance on publicly available deepfake datasets. In this work, we study 8 state-of-the-art detectors and argue that they are far from being ready for deployment due to two recent developments. |
SIFAT MUHAMMAD ABDULLAH et. al. | arxiv-cs.CR | 2024-04-24 |
| 188 | Every Breath You Don’t Take: Deepfake Speech Detection Using Breath Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Applying our simple breath detector as a deepfake speech discriminator on in-the-wild samples allows for accurate classification (perfect 1.0 AUPRC and 0.0 EER on test data) across 33.6 hours of audio. We compare our model with the state-of-the-art SSL-wav2vec model and show that this complex deep learning model completely fails to classify the same in-the-wild samples (0.72 AUPRC and 0.99 EER). |
SETH LAYTON et. al. | arxiv-cs.SD | 2024-04-23 |
| 189 | Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As such, this paper describes a new Transformer design, called TSOM, by exploring three perspectives: Texture, Shape, and Order of Manipulations. |
YUNFEI LI et. al. | arxiv-cs.CV | 2024-04-22 |
| 190 | FreqBlender: Enhancing DeepFake Detection By Blending Frequency Knowledge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While these methods have shown promise, they overlook the simulation of frequency distribution in pseudo-fake faces, limiting the learning of generic forgery traces in-depth. To address this, this paper introduces {\em FreqBlender}, a new method that can generate pseudo-fake faces by blending frequency knowledge. |
HANZHE LI et. al. | arxiv-cs.CV | 2024-04-22 |
| 191 | Audio Anti-Spoofing Detection: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey paper presents a comprehensive review of every component within the detection pipeline, including algorithm architectures, optimization techniques, application generalizability, evaluation metrics, performance comparisons, available datasets, and open-source availability. |
Menglu Li; Yasaman Ahmadiadli; Xiao-Ping Zhang; | arxiv-cs.SD | 2024-04-22 |
| 192 | DeepFake-O-Meter V2.0: An Open Platform for DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce an open-source and user-friendly online platform, DeepFake-O-Meter v2.0, that integrates state-of-the-art methods for detecting Deepfake images, videos, and audio. |
YAN JU et. al. | arxiv-cs.CR | 2024-04-19 |
| 193 | Explainable Deepfake Video Detection Using Convolutional Neural Network and CapsuleNet Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our objective is to utilize CNN (Convolutional Neural Network) and CapsuleNet with LSTM to differentiate between deepfake-generated frames and originals. |
GAZI HASIN ISHRAK et. al. | arxiv-cs.CV | 2024-04-19 |
| 194 | An Effective Approach for Detecting Deepfake Videos Using Long Short-Term Memory and ResNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning algorithms are becoming more potent and producing human-synthesized, undifferentiated footage is a simple process thanks to advances in computing power. A method of … |
S. KEERTHANA et. al. | 2024 International Conference on Communication, Computing … | 2024-04-17 |
| 195 | CNN-GMM Approach to Identifying Data Distribution Shifts in Forgeries Caused By Noise: A Step Towards Resolving The Deepfake Problem Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we introduce a novel methodology that employs a convolutional neural network (CNN) and Gaussian mixture model (GMM) to effectively differentiate between fake and real images or videos. |
Roaa Mohamed Alnafea; Liyth Nissirat; Aida Al-Samawi; | PeerJ. Computer science | 2024-04-17 |
| 196 | Detecting Deepfake Videos Using Face Recognition and Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos created using advanced artificial intelligence techniques, pose a significant threat to digital media credibility. This project introduces a holistic strategy for … |
Muthu Aravind Murugan; T. Mathu; S. J. Priya; | 2024 International Conference on Cognitive Robotics and … | 2024-04-17 |
| 197 | Detection of Deepfake Media Using A Hybrid CNN-RNN Model and Particle Swarm Optimization (PSO) Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are digital audio, video, or images manipulated using machine learning algorithms. These manipulated media files can convincingly depict individuals doing or saying … |
Aryaf A. Al-Adwan; Hadeel Alazzam; Noor Al-Anbaki; Eman Alduweib; | Comput. | 2024-04-15 |
| 198 | Does Audio Deepfake Detection Rely on Artifacts? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rise of voice conversion (VC), i.e., audio deepfakes, poses serious risks. While many detections have been developed, current methods focus on identifying artifacts in … |
Tsu-Hsien Shih; Chin-Yuan Yeh; Ming-Syan Chen; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 199 | Multi-Scale Permutation Entropy for Audio Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the widespread application of Automatic Speaker Verification (ASV) technology in security authentication, the threat of fake audio attacks looms as a malicious means … |
CHENGLONG WANG et. al. | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 200 | AdvShadow: Evading DeepFake Detection Via Adversarial Shadow Attack Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the emergence of techniques called DeepFakes, there has been a notable proliferation of DeepFake detectors rooted in deep learning. These detectors aim to expose subtle … |
Jiatong Liu; Mingcheng Zhang; Jianpeng Ke; Lina Wang; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 201 | VFD-Net: Vocoder Fingerprints Detection for Fake Audio Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of audio deepfake technology, the credibility and authenticity of public opinion is facing a formidable challenge. Since vocoder is the key component of … |
Junlong Deng; Yanzhen Ren; Tong Zhang; Hongcheng Zhu; Zongkun Sun; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 202 | A Case Study on How Beautification Filters Can Fool Deepfake Detectors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The exponential growth of shared multimedia con-tent made necessary algorithms for deepfake detection. At the same time, beautification filters have become a popular tool and new … |
Alexandre Libourel; Sahar Husseini; Nelida Mirabet-Herranz; J. Dugelay; | 2024 12th International Workshop on Biometrics and … | 2024-04-11 |
| 203 | Towards More General Video-based Deepfake Detection Through Facial Feature Guided Adaptation for Foundation Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While research in Deepfake detection has grown rapidly in response, many detection methods struggle with unseen Deepfakes generated by new synthesis techniques. To address this generalisation challenge, we propose a novel Deepfake detection approach by adapting the Foundation Models with rich information encoded inside, specifically using the image encoder from CLIP which has demonstrated strong zero-shot capability for downstream tasks. |
YUE-HUA HAN et. al. | arxiv-cs.CV | 2024-04-08 |
| 204 | Deepfake Speech Detection: A Spectrogram Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The current voice biometric systems have no natural mechanics to defend against deepfake spoofing attacks. Thus, supporting these systems with a deepfake detection solution is … |
Anton Firc; K. Malinka; P. Hanáček; | Proceedings of the 39th ACM/SIGAPP Symposium on Applied … | 2024-04-08 |
| 205 | D3: Scaling Up Deepfake Detection By Learning from Discrepancy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The boom of Generative AI brings opportunities entangled with risks and concerns. In this work, we seek a step toward a universal deepfake detection system with better … |
Yongqi Yang; Zhihao Qian; Ye Zhu; Yu Wu; | ArXiv | 2024-04-06 |
| 206 | D$^3$: Scaling Up Deepfake Detection By Learning from Discrepancy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we seek a step toward a universal deepfake detection system with better generalization and robustness, to accommodate the responsible deployment of diverse image generative models. |
Yongqi Yang; Zhihao Qian; Ye Zhu; Yu Wu; | arxiv-cs.CV | 2024-04-06 |
| 207 | Face Generation and Editing With StyleGAN: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal with this survey is to provide an overview of the state of the art deep learning methods for face generation and editing using StyleGAN. |
ANDREW MELNIK et. al. | IEEE transactions on pattern analysis and machine … | 2024-04-03 |
| 208 | Blessing or Curse? A Survey on The Impact of Generative AI on Fake News Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey provides a comprehensive examination of the research and practical use of Generative AI for Fake News detection and creation in 2024. |
Alexander Loth; Martin Kappes; Marc-Oliver Pahl; | arxiv-cs.CL | 2024-04-03 |
| 209 | Deepfake Detection and Classification of Images from Video: A Review of Features, Techniques, and Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of deepfake technology poses significant challenges to the integrity and authenticity of visual content in videos, raising concerns about misinformation and … |
Dennis Bale; L. Ochei; Chidiebere Ugwu; | International Journal of Intelligent Information Systems | 2024-04-02 |
| 210 | Audio Stream Analysis for Deep Fake Threat Identification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article introduces a novel approach for the identification of deep fake threats within audio streams, specifically targeting the detection of synthetic speech generated by … |
Karol Jędrasiak; | Civitas et Lex | 2024-04-02 |
| 211 | Real, Fake and Synthetic Faces – Does The Coin Have Three Sides? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With the ever-growing power of generative artificial intelligence, deepfake and artificially generated (synthetic) media have continued to spread online, which creates various ethical and moral concerns regarding their usage. To tackle this, we thus present a novel exploration of the trends and patterns observed in real, deepfake and synthetic facial images. |
SHAHZEB NAEEM et. al. | arxiv-cs.CV | 2024-04-02 |
| 212 | PENGEMBANGAN MEDIA PEMBELAJARAN PENGENALAN SEJARAH PAHLAWAN INDONESIA MENGGUNAKAN DEEP FAKE DENGAN METODE MULTIMEDIA DEVELOPMENT LIFE CYCLE Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Dalam pengenalan sejarah banyak terkadang para pelajar ataupun masyarakat kurang banyak dalam pengetahuan tentang sejarah terutama tokoh pahlawan nasional menjadi salah satu … |
Gelar Wirakusunah; | Jurnal Informatika dan Teknik Elektro Terapan | 2024-04-02 |
| 213 | MCL: Multimodal Contrastive Learning for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advancements in computer vision and deep learning have led to difficulty in distinguishing Deepfake and real videos. In particular, forgery audios are also generated to accompany … |
Xiaolong Liu; Yang Yu; Xiaolong Li; Yao Zhao; | IEEE Transactions on Circuits and Systems for Video … | 2024-04-01 |
| 214 | Low-Quality Deepfake Detection Via Unseen Artifacts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of manipulated media over the Internet has become a major source of concern in recent times. With the wide variety of techniques being used to create fake media, … |
S. Chhabra; K. Thakral; S. Mittal; Mayank Vatsa; Richa Singh; | IEEE Transactions on Artificial Intelligence | 2024-04-01 |
| 215 | NFTs for Combating Deepfakes and Fake Metaverse Digital Contents Related Papers Related Patents Related Grants Related Venues Related Experts View |
Haya R. Hasan; Khaled Salah; Raja Jayaraman; Ibrar Yaqoob; Mohammed A. Omar; | Internet Things | 2024-04-01 |
| 216 | Generation and Detection of Sign Language Deepfakes – A Linguistic and Visual Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is particularly helpful, given the intricate nature of sign language, a scarcity of sign language experts, and potential benefits for health and education. The objectives of this work encompass constructing a reliable deepfake dataset, evaluating its technical and visual credibility through computer vision and natural language processing models, and assessing the plausibility of the generated content. |
SHAHZEB NAEEM et. al. | arxiv-cs.CV | 2024-04-01 |
| 217 | Safeguarding Media Integrity: A Hybrid Optimized Deep Feature Fusion Based Deepfake Detection in Videos Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jayashre K; Amsaprabhaa M; | Comput. Secur. | 2024-04-01 |
| 218 | Transformer-based Cascade Networks with Spatial and Channel Reconstruction Convolution for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the deepfake detection problem, we suggest a cascade network based on spatial and channel reconstruction convolution (SCConv) and vision transformer. |
Xue Li; Huibo Zhou; Ming Zhao; | Mathematical biosciences and engineering : MBE | 2024-03-29 |
| 219 | Deepfake Generation and Detection: A Benchmark and Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We first unify task definitions, comprehensively introduce datasets and metrics, and discuss developing technologies. |
GAN PEI et. al. | arxiv-cs.CV | 2024-03-26 |
| 220 | Detection of Deepfake Environmental Audio Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a simple and efficient pipeline for detecting fake environmental sounds based on the CLAP audio embedding. |
Hafsa Ouajdi; Oussama Hadder; Modan Tailleur; Mathieu Lagrange; Laurie M. Heller; | arxiv-cs.SD | 2024-03-26 |
| 221 | TraceEvader: Making DeepFakes More Untraceable Via Evading The Forgery Model Attribution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent few years, DeepFakes are posing serve threats and concerns to both individuals and celebrities, as realistic DeepFakes facilitate the spread of disinformation. Model … |
MENGJIE WU et. al. | AAAI Conference on Artificial Intelligence | 2024-03-24 |
| 222 | Deepfakes: The Legal Implications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of deepfakes began in 2017, when a software developer on the Reddit online platform began posting his creations in which he swapped the faces of Hollywood … |
Trishana Ramluckan; | International Conference on Cyber Warfare and Security | 2024-03-21 |
| 223 | Exploring Green AI for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This is certainly a massive threat to the environment. To tackle this challenge, this study presents a novel framework for audio deepfake detection that can be seamlessly trained using standard CPU resources. |
Subhajit Saha; Md Sahidullah; Swagatam Das; | arxiv-cs.SD | 2024-03-21 |
| 224 | Towards The Development of A Real-Time Deepfake Audio Detection System in Communication Platforms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake audio poses a rising threat in communication platforms, necessitating real-time detection for audio stream integrity. Unlike traditional non-real-time approaches, this … |
J. J. MATHEW et. al. | ArXiv | 2024-03-18 |
| 225 | Deepfake Detection Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent decades, rapid advancements in AI, machine learning, and deep learning have yielded new methods and tools for manipulating multimedia. While this technology has … |
Prakash Raj S; Pravin D; Sabareeswaran G; Sanjith R K; Gomathi B; | 2024 10th International Conference on Advanced Computing … | 2024-03-14 |
| 226 | After Deception: How Falling for A Deepfake Affects The Way We See, Hear, and Experience Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the emergence of artificial intelligence, deepfakes have rendered it possible to manipulate anyone’s and anything’s audio-visual representation, adding fuel to the discussion … |
Teresa Weikmann; Hannah Greber; Alina Nikolaou; | The International Journal of Press/Politics | 2024-03-13 |
| 227 | Real Is Not True: Backdoor Attacks Against Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the present study, we introduce a pioneering paradigm denominated as Bad-Deepfake, which represents a novel foray into the realm of backdoor attacks levied against deepfake detectors. |
Hong Sun; Ziqiang Li; Lei Liu; Bin Li; | arxiv-cs.CR | 2024-03-11 |
| 228 | Mastering Deepfake Detection: A Cutting-Edge Approach to Distinguish GAN and Diffusion-Model Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Detecting and recognizing deepfakes is a pressing issue in the digital age. In this study, we first collected a dataset of pristine images and fake ones properly generated by nine … |
Luca Guarnera; O. Giudice; S. Battiato; | ACM Transactions on Multimedia Computing, Communications, … | 2024-03-09 |
| 229 | Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose a framework to effectively mitigate the disparity in frequency domain of the generated images to improve generative performance of both GAN and diffusion models. |
Seokjun Lee; Seung-Won Jung; Hyunseok Seo; | arxiv-cs.CV | 2024-03-08 |
| 230 | Exposing The Deception: Uncovering More Forgery Clues for Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Deepfake technology has given rise to a spectrum of novel and compelling applications. Unfortunately, the widespread proliferation of high-fidelity fake videos has led to … |
ZHONGJIE BA et. al. | ArXiv | 2024-03-04 |
| 231 | Evaluating The Effectiveness of A Gan Fingerprint Removal Approach in Fooling Deepfake Face Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep neural networks are able to generate stunningly realistic images, making it easy to fool both technology and humans into distinguishing real images from fake ones. Generative … |
Wasin AlKishri; Setyawan Widyarto; Jabar H. Yousif; | J. Internet Serv. Inf. Secur. | 2024-03-02 |
| 232 | Unveiling The Deepfake Dilemma: Framework, Classification, and Future Trajectories Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a type of artificial intelligence technology that makes use of deep learning to generate fake multimedia. A large number of images, audios, and videos have surfaced, … |
Vishal Maniyal; Vijay Kumar; | IT Professional | 2024-03-01 |
| 233 | Hybrid Network of Convolutional Neural Network and Transformer for Deepfake Geographic Image Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. In recent years, generative adversarial networks have been widely used to generate realistic fake images, and the current research mainly focuses on deepfake detection … |
XIAOYONG LIU et. al. | Journal of Electronic Imaging | 2024-03-01 |
| 234 | Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection Through A Multi-layer Adaptive Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we proposed an adaptable framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection. |
Tosin Ige; Christopher Kiekintveld; Aritran Piplai; | arxiv-cs.CR | 2024-02-27 |
| 235 | Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we analyze the robustness of various AI-image detectors including watermarking and classifier-based deepfake detectors. |
MEHRDAD SABERI et. al. | iclr | 2024-02-26 |
| 236 | Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study the variations in human brain activity when listening to real and fake audio. |
Mahsa Salehi; Kalin Stefanov; Ehsan Shareghi; | arxiv-cs.SD | 2024-02-22 |
| 237 | Video Deepfake Detection Using Particle Swarm Optimization Improved Deep Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Leandro Cunha; Li Zhang; Bilal I. Sowan; Chee Peng Lim; Yinghui Kong; | Neural Comput. Appl. | 2024-02-22 |
| 238 | Exposing The Deception: Uncovering More Forgery Clues for Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: These deficiencies culminate in unsatisfactory accuracy and limited generalizability in real-life scenarios. In this paper, we try to tackle these challenges through three designs: (1) We present a novel framework to capture broader forgery clues by extracting multiple non-overlapping local representations and fusing them into a global semantic-rich feature. |
ZHONGJIE BA et. al. | aaai | 2024-02-20 |
| 239 | What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a continual learning approach called Radian Weight Modification (RWM) for audio deepfake detection. |
XIAOHUI ZHANG et. al. | aaai | 2024-02-20 |
| 240 | UFCC: A Unified Forensic Approach to Locating Tampered Areas in Still Images and Detecting Deepfake Videos By Evaluating Content Consistency Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image inpainting and Deepfake techniques have the potential to drastically alter the meaning of visual content, posing a serious threat to the integrity of both images and videos. … |
Po-Chyi Su; Bo-Hong Huang; Tien-Ying Kuo; | Electronics | 2024-02-19 |
| 241 | Deepfake Detection Using Deep Feature Stacking and Meta-learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Gourab Naskar; Sk Mohiuddin; Samir Malakar; Erik Cuevas; Ram Sarkar; | Heliyon | 2024-02-15 |
| 242 | Deepfake Videos Generation and Detection: A Comprehensive Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid evolution of deepfake technology in recent years brings forth both promising opportunities and formidable challenges. This research paper conducts a thorough exploration … |
Akanksha Gupta; Dilkeshwar Pandey; | 2024 IEEE International Conference on Computing, Power and … | 2024-02-09 |
| 243 | An Efficient Deepfake Video Detection Using Robust Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
ABDUL QADIR et. al. | Heliyon | 2024-02-09 |
| 244 | Deepfake for The Good: Generating Avatars Through Face-Swapping with Implicit Deepfake Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Deepfakes refers to artificial intelligence-generated videos that closely mimic authentic footage. Using generative models, they can modify facial features, enabling the creation of altered identities or expressions that exhibit a remarkably realistic appearance to a real person. |
GEORGII STANISHEVSKII et. al. | arxiv-cs.CV | 2024-02-09 |
| 245 | Deepfake Detection and The Impact of Limited Computing Capabilities Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The rapid development of technologies and artificial intelligence makes deepfakes an increasingly sophisticated and challenging-to-identify technique. To ensure the accuracy of … |
Paloma Cantero-Arjona; Alfonso S’anchez-Maci’an; | ArXiv | 2024-02-08 |
| 246 | Masked Conditional Diffusion Model for Enhancing Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, deepfake data to help detect deepfakes. |
TIEWEN CHEN et. al. | arxiv-cs.CV | 2024-02-01 |
| 247 | A Novel Approach for Detecting Deep Fake Videos Using Graph Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
M. M. El-Gayar; Mohamed Abouhawwash; S. S. Askar; Sara Sweidan; | Journal of Big Data | 2024-02-01 |
| 248 | Common Sense Reasoning for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new annotated dataset and propose a Vision and Language Transformer-based framework for the DD-VQA task. |
Yue Zhang; Ben Colman; Xiao Guo; Ali Shahriyari; Gaurav Bharaj; | arxiv-cs.CV | 2024-01-31 |
| 249 | A Contemporary Survey on Deepfake Detection: Datasets, Algorithms, and Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are notorious for their unethical and malicious applications to achieve economic, political, and social reputation goals. Recent years have seen widespread facial … |
Liang Yu Gong; Xue Jun Li; | Electronics | 2024-01-31 |
| 250 | A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Arash Heidari; Nima Jafari Navimipour; Hasan Dag; Samira Talebi; Mehmet Unal; | Cognitive Computation | 2024-01-26 |
| 251 | Individual Responsibility Around Deepfakes: It’s No Laughing Matter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The objectives of this research were to examine the contextual factors that impact individual’s interpretation of their responsibility in the context of Deepfake videos. Using a … |
Stuart Napshin; Jomon Paul; Justin Cochran; | Cyberpsychology, behavior and social networking | 2024-01-24 |
| 252 | Deepfake Detection Using Spatiotemporal Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in generative models and the availability of large-scale benchmarks have made deepfake video generation and manipulation easier. Nowadays, the number of new … |
BACHIR KADDAR et. al. | ACM Transactions on Multimedia Computing, Communications … | 2024-01-23 |
| 253 | Identity-Driven Multimedia Forgery Detection Via Reference Assistance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, official media concerning relevant identities on the Internet can serve as prior knowledge, aiding both the audience and forgery detectors in determining the true identity. Therefore, we propose an identity-driven multimedia forgery dataset, IDForge, which contains 249,138 video shots sourced from 324 wild videos of 54 celebrities collected from the Internet. |
JUNHAO XU et. al. | arxiv-cs.MM | 2024-01-22 |
| 254 | Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In response to the rapid advancements in facial manipulation technologies, particularly facilitated by Generative Adversarial Networks (GANs) and Stable Diffusion-based methods, … |
MUHAMMAD ASAD ARSHED et. al. | Comput. | 2024-01-21 |
| 255 | One Detector to Rule Them All? On The Robustness and Generalizability of Current State-of-the-Art Deepfake Detection Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advancements made in the field of artificial intelligence (AI) in recent years, it has become more accessible to create facial forgeries in images and videos. In … |
R. Frick; Martin Steinebach; | Electronic Imaging | 2024-01-21 |
| 256 | Deepfakes – Generating Synthetic Images, and Detecting Artificially Generated Fake Visuals Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The abstract delves into the groundbreaking realm of DeepFakes, a revolutionary synthesis of deep learning and synthetic media. Central to DeepFake generation is the utilization … |
Ayushi Mishra; Aadi Bharwaj; Aditya Kumar Yadav; Khushi Batra; Nidhi Mishra; | 2024 14th International Conference on Cloud Computing, Data … | 2024-01-18 |
| 257 | Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, it presents a detailed analysis of benchmark datasets for malicious manipulation detection that are publicly available. |
Ankit Yadav; Dinesh Kumar Vishwakarma; | arxiv-cs.CV | 2024-01-13 |
| 258 | Frequency Masking for Universal Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our goal is to detect synthetic images from a range of generative AI approaches, particularly from emerging ones which are unseen during training of the deepfake detector. |
Chandler Timm Doloriel; Ngai-Man Cheung; | arxiv-cs.CV | 2024-01-12 |
| 259 | Self-Attention and Hybrid Features for Replay and Deep-Fake Audio Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the successful application of deep learning, audio spoofing detection has made significant progress. Spoofed audio with speech synthesis or voice conversion can be well … |
Lian Huang; Chi-Man Pun; | ArXiv | 2024-01-11 |
| 260 | SoK: Facial Deepfake Detectors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, many existing detectors rely heavily on lab-generated datasets for validation, which may not effectively prepare them for novel, emerging, and real-world deepfake techniques. In this paper, we conduct an extensive and comprehensive review and analysis of the latest state-of-the-art deepfake detectors, evaluating them against several critical criteria. |
BINH M. LE et. al. | arxiv-cs.CV | 2024-01-09 |
| 261 | Deepfakes – Reality Under Threat? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, advances in technology, specifically in machine learning, artificial intelligence, and deep learning, have made it possible to create highly convincing fake … |
Md. Shohel Rana; Md Solaiman; Charan Gudla; Md. Fahimuzzman Sohan; | 2024 IEEE 14th Annual Computing and Communication Workshop … | 2024-01-08 |
| 262 | A Novel Approach to Fake News Classification Using LSTM-based Deep Learning Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid dissemination of information has been accompanied by the proliferation of fake news, posing significant challenges in discerning authentic news from fabricated … |
Halyna Padalko; Vasyl Chomko; Dmytro Chumachenko; | Frontiers in big data | 2024-01-08 |
| 263 | ETIKA DALAM ERA DEEPFAKE: BAGAIMANA MENJAGA INTEGRITAS KOMUNIKASI Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Penelitian ini bertujuan untuk mengetahui pemecahan masalah etika pada era dimana deepfake merebak, dan memberikan pemahaman mengenai risiko yang bisa ditimbulkan dari pembuatan … |
Intan Leliana; Gema Irhamdhika; A. Haikal; R. Septian; E. Kusnadi; | Jurnal Visi Komunikasi | 2024-01-06 |
| 264 | Implementation of Deep Learning Method for Forgery Detection on Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the surge in misinformation and rapid technological advancements has significantly increased the prevalence of media manipulation. The advent of AI-altered videos … |
Atharva Kohapare; Karan Dhongade; Rahul Sukare; Priya Maidamwar; | 2024 2nd International Conference on Intelligent Data … | 2024-01-04 |
| 265 | Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the significant issue, this paper introduces a deepfake database (DFLIP-3K) for the development of convincing and explainable deepfake detection. |
Yabin Wang; Zhiwu Huang; Zhiheng Ma; Xiaopeng Hong; | arxiv-cs.CV | 2024-01-04 |
| 266 | AntiDeepFake: AI for Deep Fake Speech Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this research study, we propose a modern artificial intelligence (AI) approach to recognize deepfake voice, also known as generative AI cloned synthetic voice. Our proposed AI … |
Enkhtogtokh Togootogtokh; Christian Klasen; | ArXiv | 2024-01-04 |
| 267 | Enhanced Fake News Detection Through The Fusion of Deep Learning and Repeat Vector Representations IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid dissemination of information across social networks, online news portals, and digital platforms has given rise to a pervasive issue—fake news. This misinformation, … |
TANJIM MAHMUD et. al. | 2024 2nd International Conference on Intelligent Data … | 2024-01-04 |
| 268 | FAKE REVIEW DETECTION USING DEEP LEARNING Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the exponential growth of online user-generated content, the issue of fake reviews has become a significant concern, impacting consumer decisions and trust in online … |
Ijsrem Journal; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2024-01-04 |
| 269 | Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake text known as synthetic text, involves using artificial intelligence (AI)-generated text to create fabricated information or imitate actual individuals. Twitter tweets … |
M. KHALID et. al. | IEEE Access | 2024-01-01 |
| 270 | Improving Generalization of Deepfake Detectors By Imposing Gradient Regularization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of face forgery technology has posed a significant threat to information security. While deepfake detection has proven to be an effective countermeasure, it … |
Weinan Guan; Wei Wang; Jing Dong; Bo Peng; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 271 | Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections Related Papers Related Patents Related Grants Related Venues Related Experts View |
Dmitry Gura; Bo Dong; Dua’a Mehiar; Nidal Al Said; | Computers, Materials & Continua | 2024-01-01 |
| 272 | Diffusion-Inspired Dynamic Models for Enhanced Fake Face Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : The conventional convolutional U-Net model was originally designed to segment images. Enhanced versions of the architecture with timestep embedding and self-attention inspired … |
Mamadou Dian Bah; Rajjeshwar Ganguly; Mohamed Dahmane; | VISIGRAPP : VISAPP | 2024-01-01 |
| 273 | Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As deepfake technology gains traction, the need for reliable detection systems is crucial. Recent research has introduced various deep learning-based detection systems, yet they … |
Sohail Ahmed Khan; Duc-Tien Dang-Nguyen; | IEEE Access | 2024-01-01 |
| 274 | 4DPM: Deepfake Detection With A Denoising Diffusion Probabilistic Mask Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the face of increasingly realistic fake human faces, research on enhancing the differences between real and fake images is valuable for improving the generalization … |
Rui Yang; Zhenrong Deng; Yushu Zhang; Xiaonan Luo; Rushi Lan; | IEEE Signal Processing Letters | 2024-01-01 |
| 275 | Improving Video Vision Transformer for Deepfake Video Detection Using Facial Landmark, Depthwise Separable Convolution and Self Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we present our result of research in video deepfake detection. We built a deepfake detection system to detect whether a video is a deepfake or real. The deepfake … |
Kurniawan Nur Ramadhani; Rinaldi Munir; N. P. Utama; | IEEE Access | 2024-01-01 |
| 276 | LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper introduces a novel approach for high-quality deepfake detection called Localized Artifact Attention Network (LAA-Net). Existing methods for high-quality deep-fake … |
DAT NGUYEN et. al. | ArXiv | 2024-01-01 |
| 277 | Semi-Supervised Deep Domain Adaptation for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advent and popularity of generative models such as GANs, synthetic image generation and manipu-lation has become commonplace. This has promoted active research in the … |
Md Shamim Seraj; Ankita Singh; Shayok Chakraborty; | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2024-01-01 |
| 278 | Fine-Grained Open-Set Deepfake Detection Via Unsupervised Domain Adaptation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake represented by face swapping and face reenactment can transfer the appearance and behavioral expressions of a face in one video image to another face in a different … |
Xinye Zhou; Hu Han; Shiguang Shan; Xilin Chen; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 279 | Examining The Societal Impact and Legislative Requirements of Deepfake Technology: A Comprehensive Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes, highly realistic fabricated videos, images, or audios created using artificial intelligence algorithms, have gained widespread attention and raised concerns about their … |
Sami Alanazi; Seemal Asif; Irene Moulitsas; | International Journal of Social Science and Humanity | 2024-01-01 |
| 280 | Investigation of Deep Fake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
Sarah Riyadh Adnan; Huda Abdulaali Abdulbaqi; | AIP Conference Proceedings | 2024-01-01 |
| 281 | DEEPFAKES AND CYBERSECURITY: DETECTION AND MITIGATION Authors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology, which leverages advanced artificial intelligence (AI) and machine learning techniques to create hyper-realistic but fabricated media, has emerged as a … |
Peter Broklyn; Axel Egon; Ralph Shad; | SSRN Electronic Journal | 2024-01-01 |
| 282 | Domain Generalization Via Aggregation and Separation for Audio Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose an Aggregation and Separation Domain Generalization (ASDG) method for Audio DeepFake Detection (ADD). Fake speech generated from different methods … |
Yuankun Xie; Haonan Cheng; Yutian Wang; Long Ye; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 283 | EKYC-DF: A Large-Scale Deepfake Dataset for Developing and Evaluating EKYC Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The reliability of remote identity-proofing systems (i.e., electronic Know Your Customer, or eKYC, systems) is challenged by the development of deepfake generation tools, which … |
Hichem Felouat; H. Nguyen; Trung-Nghia Le; Junichi Yamagishi; Isao Echizen; | IEEE Access | 2024-01-01 |
| 284 | Deepfake Defense: Constructing and Evaluating A Specialized Urdu Deepfake Audio Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View |
SHEZA MUNIR et. al. | Annual Meeting of the Association for Computational … | 2024-01-01 |
| 285 | Enhancing Deepfake Detection With Diversified Self-Blending Images and Residuals Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advancement of deep forgery technology has significantly impacted the credibility of media content, making the detection of deep forgeries crucial for ensuring media security. … |
Qingtong Liu; Ziyu Xue; Haitao Liu; Jing Liu; | IEEE Access | 2024-01-01 |
| 286 | DEEPFAKE DYSTOPIA: NAVIGATING THE LANDSCAPE OF THREATS AND SAFEGUARDS IN MULTIMEDIA CONTENT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology, a fusion of deep learning and artificial intelligence, has emerged as a potent tool capable of crafting hyper-realistic yet entirely fabricated multimedia … |
Prakhar Prasoon; P. N. Ramakrishnan; | International Journal of Trendy Research in Engineering and … | 2024-01-01 |
| 287 | Improving Deepfake Detection Generalization By Invariant Risk Minimization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The abuse of deepfake techniques has raised serious concerns about social security and ethical problems, which motivates the development of deepfake detection. However, without … |
ZIXIN YIN et. al. | IEEE Transactions on Multimedia | 2024-01-01 |
| 288 | A New Approach for Effective Medical Deepfake Detection in Medical Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In today’s world, deepfake technology is being used to generate fake images, sounds, and videos from real images and sounds using deep learning and artificial intelligence … |
Mehmet Karaköse; Hasan Yetiş; Mert Çeçen; | IEEE Access | 2024-01-01 |
| 289 | Deep Neural Networks Approach with Transfer Learning to Detect Fake Accounts Social Media on Twitter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The massive use of social media makes people take actions that have a negative impact on cyberspace, such as creating fake accounts that aim to commit crimes such as spam and … |
ARIF RIDHO LUBIS et. al. | Indonesian Journal of Electrical Engineering and Computer … | 2024-01-01 |
| 290 | Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While human brains have the ability to distinguish face characteristics, the use of advanced technology and artificial intelligence blurs the difference between actual and … |
Soha Safwat; Ayat Mahmoud; Ibrahim Eldesouky Fattoh; Farid Ali; | IEEE Access | 2024-01-01 |
| 291 | A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The detection of fake news and harmful languages has become increasingly important in today’s digital age. As the prevalence of fake news and harmful languages continue to … |
Eniafe Festus Ayetiran; Özlem Özgöbek; | IEEE Access | 2024-01-01 |
| 292 | Legal Analysis on The Use of Deepfake Technology: Threats to Indonesian Banking Institutions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Rencana transformasi digital yang dilaksanakan oleh Otoritas Jasa Keuangan dalam industri perbankan telah memberikan dampak nyata dalam mempercepat evolusi perbankan Indonesia … |
Indra Jaya Gunawan; Sylvia Janisriwati; | Law and Justice | 2023-12-31 |
| 293 | Two-Branch Deepfake Detection Network Based on Improved Xception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous development of computer technology, the level of AI technology has also been greatly improved. But it comes with growing security and ethical challenges, … |
Rui Zhang; Zixuan Jiang; Changxu Sun; | 2023 IEEE International Conference on Electrical, … | 2023-12-29 |
| 294 | Regulating Deep Fakes in The Artificial Intelligence Act Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Artificial Intelligence Act (AI Act) may be a milestone in the regulation of artificial intelligence by the European Union. The regulatory framework proposed by the European … |
Mateusz Łabuz; | Applied Cybersecurity & Internet Governance | 2023-12-28 |
| 295 | AESTHETICS OF DEEPFAKE ‒ SPHERE OF ART AND ENTERTAINMENT INDUSTRY Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The usage of artificial intelligence is one of the main characteristics of contemporary society. Deepfake is one among other forms of AI that uses artificial intelligence called … |
Ivana Stojanović Prelević; Zaaresh Zehra; | Facta Universitatis, Series: Visual Arts and Music | 2023-12-27 |
| 296 | Twitter Fake News Detection Using Graph Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article is devoted to the intellectual processing of text information for the purpose of detecting rail news. To solve the given task, the use of deep graph neural networks … |
V. Sineglazov; Kyrylo Bylym; | Electronics and Control Systems | 2023-12-27 |
| 297 | A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of generating hyper-realistic DeepFake videos or images to cause serious harm to … |
GOURAV GUPTA et. al. | Electronics | 2023-12-25 |
| 298 | A GENERATIVE MODEL FOR DEEP FAKE AUGMENTATION OF PHONOCARDIOGRAM AND ELECTROCARDIOGRAM SIGNALS USING LSGAN AND CYCLE GAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to diagnose a range of cardiac conditions, it is important to conduct an accurate evaluation of either phonocardiogram (PCG) and electrocardiogram (ECG) data. Artificial … |
Swarajya Madhuri Rayavarapu; Tammineni Shanmukha Prasanthi; G. S. Kumar; G. Sasibhushana Rao; Gottapu Prashanti; | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie … | 2023-12-20 |
| 299 | Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our main contribution is to show the models adaptability and effectiveness in correctly identifying deepfake faces in videos. |
Faysal Mahmud; Yusha Abdullah; Minhajul Islam; Tahsin Aziz; | arxiv-cs.CV | 2023-12-17 |
| 300 | DETER: Detecting Edited Regions for Deterring Generative Manipulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To counteract the shortcomings, we introduce DETER, a large-scale dataset for DETEcting edited image Regions and deterring modern advanced generative manipulations. |
SAI WANG et. al. | arxiv-cs.CV | 2023-12-16 |
| 301 | What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a continual learning approach called Radian Weight Modification (RWM) for audio deepfake detection. |
XIAOHUI ZHANG et. al. | arxiv-cs.SD | 2023-12-15 |
| 302 | The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advent of the Internet has enabled everyone with access to it to provide their views online. This freedom of expression has also resulted in an increasing amount of … |
Bharkavi Sachithanandam; A. Namin; Faranak Abri; | 2023 IEEE International Conference on Big Data (BigData) | 2023-12-15 |
| 303 | Complementary Attention-Based Deep Learning Detection of Fake Faces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The access to large-scale public databases along with the fast progress of deep learning techniques have led to the generation of very realistic fake content. This has raised … |
Supriyo Sadhya; Xiaojun Qi; | 2023 IEEE International Conference on Big Data (BigData) | 2023-12-15 |
| 304 | AVA: Inconspicuous Attribute Variation-based Adversarial Attack Bypassing DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, most related detection algorithms to mitigate the abuse issues are inherently vulnerable to adversarial attacks because they are built atop DNN-based classification models, and the literature has demonstrated that they could be bypassed by introducing pixel-level perturbations. Though corresponding mitigation has been proposed, we have identified a new attribute-variation-based adversarial attack (AVA) that perturbs the latent space via a combination of Gaussian prior and semantic discriminator to bypass such mitigation. |
Xiangtao Meng; Li Wang; Shanqing Guo; Lei Ju; Qingchuan Zhao; | arxiv-cs.CV | 2023-12-14 |
| 305 | Face Warping Deepfake Detection and Localization in A Digital Video Using Transfer Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative AI (GenAI) can generate high-resolution and complex content mimicking the creativity of humans, thereby benefiting industries such as gaming, entertainment, and product … |
R. Dhanaraj; M. Sri̇devi̇; | Journal of Metaverse | 2023-12-14 |
| 306 | Review: DeepFake Detection Techniques Using Deep Neural Networks (DNN) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the age of advanced digital manipulation, deepfake videos pose a significant threat to society by allowing the creation of highly convincing counterfeit footage. The … |
Harsh Chotaliya; Mohammed Adil Khatri; Shubham Kanojiya; Mandar Bivalkar; | 2023 6th International Conference on Advances in Science … | 2023-12-08 |
| 307 | Exploding AI-Generated Deepfakes and Misinformation: A Threat to Global Concern in The 21st Century Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The term ‘deepfake’ was coined in 2018 by a Reddit user who created a Reddit forum dedicated to the creation and use of deep learning software for synthetically face-swapping … |
Dr. Bharat Dhiman; | Qeios | 2023-12-07 |
| 308 | Fuzzy Deep Hybrid Network for Fake News Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The proliferation of fake news in the digital age poses a significant threat to the democratic process and undermines trust in the media. As disinformation campaigns become more … |
Cheng Xu; Mohand-Tahar Kechadi; | Proceedings of the 12th International Symposium on … | 2023-12-07 |
| 309 | DeepFND: An Ensemble-based Deep Learning Approach for The Optimization and Improvement of Fake News Detection in Digital Platform Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Early identification of false news is now essential to save lives from the dangers posed by its spread. People keep sharing false information even after it has been debunked. … |
Venkatachalam K; Badriyya B Al-Onazi; Vladimir Simic; Erfan Babaee Tirkolaee; Chiranjibe Jana; | PeerJ. Computer science | 2023-12-07 |
| 310 | Concentric Ring Loss for Face Forgery Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The issue of detecting face forgeries has garnered significant interest in the field of computer vision, primarily driven by the growing social concerns of indistinguishable … |
Yu Yin; Yue Bai; Yizhou Wang; Yun Fu; | 2023 IEEE International Conference on Data Mining (ICDM) | 2023-12-01 |
| 311 | Model-Agnostic Method: Exposing Deepfake Using Pixel-Wise Spatial and Temporal Fingerprints Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake poses a serious threat to the reliability of judicial evidence and intellectual property protection. Existing detection methods either blindly utilize deep learning or … |
JUN YANG et. al. | IEEE Transactions on Big Data | 2023-12-01 |
| 312 | Investigating The Effectiveness of Deep Learning Approaches for Deep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a result of notable progress in image processing and machine learning algorithms, generating, modifying, and manufacturing superior quality images has become less complicated. … |
Mohammed Berrahal; Mohammed Boukabous; Mimoun Yandouzi; Mounir Grari; Idriss Idrissi; | Bulletin of Electrical Engineering and Informatics | 2023-12-01 |
| 313 | Deepfake Generation and Detection – An Exploratory Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes generated through algorithms based on deep learning have obtained a lot of interest recently. Deepfakes are utilized to manipulate content (audio, video and image) with … |
Diya Garg; Rupali Gill; | 2023 10th IEEE Uttar Pradesh Section International … | 2023-12-01 |
| 314 | Decentralized Deepfake Detection Blockchain Network Using Dynamic Algorithm Management Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a comprehensive framework for a blockchain-based decentralized system designed to tackle the escalating challenge of digital content integrity. |
Dipankar Sarkar; | arxiv-cs.CR | 2023-11-30 |
| 315 | DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake data contains realistically manipulated faces—its abuses pose a huge threat to the security and privacy-critical applications. Intensive research from academia and … |
LI WANG et. al. | ACM Transactions on Privacy and Security | 2023-11-29 |
| 316 | Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first realistic audio-visual database of deepfakes SWAN-DF, where lips and speech are well synchronized and video have high visual and audio qualities. |
Pavel Korshunov; Haolin Chen; Philip N. Garner; Sebastien Marcel; | arxiv-cs.CV | 2023-11-29 |
| 317 | AI in The Era of Fakes and Deepfakes: Risk of Fabricated Photographs and Identities in Academic Publishing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Academic publishing has entered an era of fake, including fake authors who are either real entities using fake credentials, or totally concocted personalities that give the … |
Jaime A. Teixeira da Silva; | Journal of Information Security and Cybercrimes Research | 2023-11-28 |
| 318 | From Deepfake to Deep Useful: Risks and Opportunities Through A Systematic Literature Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The present study aims to collect and analyze the relevant literature through a systematic procedure. We present 27 articles from scientific databases revealing threats to society, democracies, the political life but present as well advantages of this technology in entertainment, gaming, education, and public life. |
Nikolaos Misirlis; Harris Bin Munawar; | arxiv-cs.SI | 2023-11-27 |
| 319 | Deepfake Detection with and Without Content Warnings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We conduct an experiment to measure people’s alertness to and ability to detect a high-quality deepfake among a set of videos. |
Andrew Lewis; Patrick Vu; Raymond M Duch; Areeq Chowdhury; | Royal Society open science | 2023-11-27 |
| 320 | Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel unsupervised method for detecting deepfake videos by directly identifying intra-modal and cross-modal inconsistency between video segments. |
Mulin Tian; Mahyar Khayatkhoei; Joe Mathai; Wael AbdAlmageed; | arxiv-cs.CV | 2023-11-27 |
| 321 | Enhanced Preprocessing Stage For Feature Extraction of Deepfake Detection Based on Deep Learning Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Biometric identities are at risk of deepfake facial manipulation. Over the past few years, deepfake detection has been the subject of extensive research, most which centered on … |
Mohamed Abdulrahman Abdulhamid; A. Hashim; | 2023 7th International Symposium on Innovative Approaches … | 2023-11-23 |
| 322 | Spatio-Temporal Convolutional Neural Networks for Deepfake Detection: An Empirical Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the creation of deepfakes becomes more prevalent and sophisticated, the need for accurate and robust detection methods intensifies. This paper presents a comprehensive … |
Vishal Kumar Sharma; Rakesh Garg; Quentin Caudron; | 2023 Second International Conference on Informatics (ICI) | 2023-11-23 |
| 323 | Unearthing Common Inconsistency for Generalisable Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduced a temporally-preserved module method to introduce spatial noise perturbations, directing the model’s attention towards temporal information. |
Beilin Chu; Xuan Xu; Weike You; Linna Zhou; | arxiv-cs.CV | 2023-11-20 |
| 324 | Deepfake Detection Using Deep Learning Methods: A Systematic and Comprehensive Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep Learning (DL) has been effectively utilized in various complicated challenges in healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung … |
Arash Heidari; Nima Jafari Navimipour; Hasan Dag; Mehmet Unal; | WIREs Data. Mining. Knowl. Discov. | 2023-11-20 |
| 325 | A Lightweight Algorithm for Detecting Fake Multimedia Contents on Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The significant growth of the fourth industrial revolution (Industry 4.0) coupled with the widespread adoption of social media across the world has initiated new challenges that … |
Arnold Mashud Abukari; Jhansi Bharathi Madavarapu; E. K. Bankas; | Earthline Journal of Mathematical Sciences | 2023-11-16 |
| 326 | Efficient Temporally-Aware DeepFake Detection Using H.264 Motion Vectors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we propose using the related but often ignored Motion Vectors (MVs) and Information Masks (IMs) from the H.264 video codec, to detect temporal inconsistencies in DeepFakes. |
Peter Grönquist; Yufan Ren; Qingyi He; Alessio Verardo; Sabine Süsstrunk; | arxiv-cs.CV | 2023-11-16 |
| 327 | AntiFake: Using Adversarial Audio to Prevent Unauthorized Speech Synthesis IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of deep neural networks and generative AI has catalyzed growth in realistic speech synthesis. While this technology has great potential to improve lives, it … |
Zhiyuan Yu; Shixuan Zhai; Ning Zhang; | Proceedings of the 2023 ACM SIGSAC Conference on Computer … | 2023-11-15 |
| 328 | Deepfake Detection Using XceptionNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a precise and highly efficient method for detecting deepfakes, which have become increasingly accessible via mobile applications, posing significant threats to … |
Ashok V; P. Joy; | 2023 IEEE International Conference on Recent Advances in … | 2023-11-08 |
| 329 | Weakly-supervised Deepfake Localization in Diffusion-generated Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we frame this task as a weakly-supervised localization problem and identify three main categories of methods (based on either explanations, local scores or attention), which we compare on an equal footing by using the Xception network as the common backbone architecture. |
Dragos Tantaru; Elisabeta Oneata; Dan Oneata; | arxiv-cs.CV | 2023-11-08 |
| 330 | CapST: An Enhanced and Lightweight Model Attribution Approach for Synthetic Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While existing research primarily focuses on binary classification to discern between real and fake videos, however determining the specific generation model for a fake video is crucial for forensic investigation. Addressing this gap, this paper investigates the model attribution problem of Deepfake videos from a recently proposed dataset, Deepfakes from Different Models (DFDM), derived from various Autoencoder models. |
WASIM AHMAD et. al. | arxiv-cs.CV | 2023-11-07 |
| 331 | MFAAN: Unveiling Audio Deepfakes with A Multi-Feature Authenticity Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Audio deepfakes, in particular, can be deceptively realistic, posing significant risks in misinformation campaigns. To address this threat, we introduce the Multi-Feature Audio Authenticity Network (MFAAN), an advanced architecture tailored for the detection of fabricated audio content. |
Karthik Sivarama Krishnan; Koushik Sivarama Krishnan; | arxiv-cs.SD | 2023-11-06 |
| 332 | Fake News Detection Using Optimized Deep Learning Model Through Effective Feature Extraction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Internet plays a vital role in the propagation of data through public networks or websites due to which Fake news is produced for commercial and political benefits to misinform … |
Arati Chabukswar; P. D. Shenoy; V. R.; | 2023 International Conference on Recent Advances in … | 2023-11-06 |
| 333 | AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study proposes a new method based on a multi-modal self-supervised-learning (SSL) feature extractor to exploit inconsistency between audio and visual modalities for multi-modal video forgery detection. |
Sahibzada Adil Shahzad; Ammarah Hashmi; Yan-Tsung Peng; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2023-11-05 |
| 334 | Fake-checker: A Fusion of Texture Features and Deep Learning for Deepfakes Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
Noor ul Huda; Ali Javed; Kholoud Maswadi; Ali Alhazmi; Rehan Ashraf; | Multim. Tools Appl. | 2023-11-03 |
| 335 | Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Identifying and understanding manipulated media are crucial to mitigate the social concerns on the potential misuse of GMs. We propose to perform reverse engineering of GMs to infer model hyperparameters from the images generated by these models. |
Vishal Asnani; Xi Yin; Tal Hassner; Xiaoming Liu; | IEEE transactions on pattern analysis and machine … | 2023-11-03 |
| 336 | Deep Dive Into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The online spread of fake news on various platforms has emerged as a significant concern, posing threats to public opinion, political stability, and the dissemination of reliable … |
F. Alarfaj; Jawad Abbas Khan; | Algorithms | 2023-11-03 |
| 337 | Detecting Deepfakes Without Seeing Any IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For instance, when impersonating Obama, the attacker explicitly or implicitly claims that the fake media show Obama; ii) current generative techniques cannot perfectly synthesize the false facts claimed by the attacker. We therefore introduce the concept of fact checking, adapted from fake news detection, for detecting zero-day deepfake attacks. |
Tal Reiss; Bar Cavia; Yedid Hoshen; | arxiv-cs.CV | 2023-11-02 |
| 338 | Robust Identity Perceptual Watermark Against Deepfake Face Swapping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, to fulfill the research gap, we propose the first robust identity perceptual watermarking framework that concurrently performs detection and source tracing against Deepfake face swapping proactively. |
Tianyi Wang; Mengxiao Huang; Harry Cheng; Bin Ma; Yinglong Wang; | arxiv-cs.CV | 2023-11-02 |
| 339 | A Survey on Deepfake Video Detection Datasets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake video has usefulness in entertainment and multimedia technology, however, the danger of deepfake is significant to the social, economical, and political sectors so far. … |
Md. Fahimuzzman Sohan; Md Solaiman; Md Aumit Hasan; | Indonesian Journal of Electrical Engineering and Computer … | 2023-11-01 |
| 340 | FakePoI: A Large-Scale Fake Person of Interest Video Detection Benchmark and A Strong Baseline Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technique can synthesize realistic images, audios, and videos, facilitating the thriving of entertainment, education, healthcare, and other industries. However, its abuse … |
Lulu Tian; H. Yao; Ming Li; | IEEE Transactions on Circuits and Systems for Video … | 2023-11-01 |
| 341 | The Concept of Deepfake in Russian Law, Classification of Deepfake and Issues of Their Legal Regulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The article deals with the issues of legal regulation of deepfake in the Russian Federation. Legal regulation of deepfake does not keep up with the pace of development of … |
N. F. Bodrov; A. K. Lebedeva; | Юридические исследования | 2023-11-01 |
| 342 | Exploring Spatial–temporal Features Fusion Model for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. The rapid development of Deepfake technology has posed significant challenges in detecting fake videos. In response to the existing problems in reference frame … |
Jiujiu Wu; Jiyu Zhou; Danyu Wang; Lin Wang; | Journal of Electronic Imaging | 2023-11-01 |
| 343 | DeepMark: A Scalable and Robust Framework for DeepFake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid growth of DeepFake video techniques, it becomes increasingly challenging to identify them visually, posing a huge threat to our society. Unfortunately, existing … |
LI TANG et. al. | ACM Transactions on Privacy and Security | 2023-11-01 |
| 344 | Detection of Deep Fake Images Using Convolutional Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Images are frequently manipulated for various purposes, often serving the interests of specific parties. Given that images are commonly regarded as evidence of reality, their … |
Gaurav Aggarwal; A. Srivastava; Kavita Jhajharia; Neha V. Sharma; Gurinder Singh; | 2023 3rd International Conference on Technological … | 2023-11-01 |
| 345 | Analysis of Spectro-Temporal Modulation Representation for Deep-Fake Speech Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep-fake speech detection aims to develop effective techniques for identifying fake speech generated using advanced deep-learning methods. It can reduce the negative impact of … |
Haowei Cheng; Candy Olivia Mawalim; Kai Li; Lijun Wang; Masashi Unoki; | 2023 Asia Pacific Signal and Information Processing … | 2023-10-31 |
| 346 | Deepfake-speech Detection with Pathological Features and Multilayer Perceptron Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake speech, a misuse of speech technology, is of great concern since it seems natural and is difficult to detect. Although many methods using various speech features have … |
Anuwat Chaiwongyen; Suradej Duangpummet; Jessada Karnjana; W. Kongprawechnon; Masashi Unoki; | 2023 Asia Pacific Signal and Information Processing … | 2023-10-31 |
| 347 | Deepfake Detection By Exploiting Surface Anomalies: The SurFake Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to investigate how deepfake creation can impact on the characteristics that the whole scene had at the time of the acquisition. |
Andrea Ciamarra; Roberto Caldelli; Federico Becattini; Lorenzo Seidenari; Alberto Del Bimbo; | arxiv-cs.CV | 2023-10-31 |
| 348 | Face Manipulated Deepfake Generation and Recognition Approaches: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the progression of deep-learning techniques, digital media recording and synthesis media generation have become exceptionally easy. Due to open access of user-friendly … |
Mansi Rehaan; Nirmal Kaur; Staffy Kingra; | Smart Science | 2023-10-30 |
| 349 | FLORIDA: Fake-looking Real Images Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although extensive research has been carried out to evaluate the effectiveness of AI tools and models in detecting deep fakes, the question remains unanswered regarding whether these models can accurately identify genuine images that appear artificial. In this study, as an initial step towards addressing this issue, we have curated a dataset of 510 genuine images that exhibit a fake appearance and conducted an assessment using two AI models. |
Ali Borji; | arxiv-cs.CV | 2023-10-29 |
| 350 | Language-focused Deepfake Detection Using Phonemes, Mouth Movements, and Video Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The potential implications of Artificial Intelligence (AI) and Deep Learning (DL) algorithms in generating highly realistic deepfake videos have raised concerns regarding the … |
Jonas Krause; A. Inácio; H. Lopes; | 2023 IEEE Latin American Conference on Computational … | 2023-10-29 |
| 351 | MalFake: A Multimodal Fake News Identification for Malayalam Using Recurrent Neural Networks and VGG-16 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: When we take into the context of India, there are many regional languages, and fake news is spreading in every language. |
Adhish S. Sujan; Ajitha. V; Aleena Benny; Amiya M. P.; V. S. Anoop; | arxiv-cs.CL | 2023-10-27 |
| 352 | AntifakePrompt: Prompt-Tuned Vision-Language Models Are Fake Image Detectors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, being inspired by the zero-shot advantages of Vision-Language Models (VLMs), we propose a novel approach called AntifakePrompt, using VLMs (e.g., InstructBLIP) and prompt tuning techniques to improve the deepfake detection accuracy over unseen data. |
You-Ming Chang; Chen Yeh; Wei-Chen Chiu; Ning Yu; | arxiv-cs.CV | 2023-10-26 |
| 353 | SiFDetectCracker: An Adversarial Attack Against Fake Voice Detection Based on Speaker-Irrelative Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Voice is a vital medium for transmitting information. The advancement of speech synthesis technology has resulted in high-quality synthesized voices indistinguishable from human … |
Xuan Hai; Xin Liu; Yuan Tan; Qingguo Zhou; | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 354 | Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As deepfake technology has become increasingly sophisticated and accessible, making it easier for individuals with malicious intent to create convincing fake content, which has … |
MAOSEN LI et. al. | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 355 | BiFPro: A Bidirectional Facial-data Protection Framework Against DeepFake Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid progress of the DeepFake technique has caused severe privacy problems. Thus protecting facial data against DeepFake becomes an urgent requirement. Face protection can be … |
HONGGU LIU et. al. | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 356 | Audio Deepfake Detection By Using Machine and Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake voices are one of the hottest topics in cyber security, forensics, and social media. There are a variety of usage scenarios, from speech disorders to fake news to telephone … |
H. Kilinç; Faruk Kaledibi; | 2023 10th International Conference on Wireless Networks and … | 2023-10-26 |
| 357 | Do Deepfake Videos Undermine Our Epistemic Trust? A Thematic Analysis of Tweets That Discuss Deepfakes in The Russian Invasion of Ukraine IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study uses a thematic analysis on tweets relating to deepfakes and the Russo-Ukrainian war to explore how people react to deepfake content online, and to uncover evidence of previously theorised harms of deepfakes on trust. |
JOHN TWOMEY et. al. | PloS one | 2023-10-25 |
| 358 | Using Recurrent and Convulation Neural Networks to Indentify The Fake Audio Messages Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the improvement of deep fake technology, the problem of detecting fabricated audio has gained significant proportions. And if in peacetime, people, in the majority, can … |
Artem Khovrat; V. Kobziev; | 2023 IEEE 7th International Conference on Methods and … | 2023-10-24 |
| 359 | Realistic Facial Deep Fakes Detection Through Self-Supervised Features Generated By A Self-Distilled Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Several large-scale datasets and models to detect deep fake content and aid in combatting its harms have emerged. The best models usually combine Vision Transformers with … |
Bruno Rocha Gomes; A. Busson; J. Boaro; S. Colcher; | Proceedings of the 29th Brazilian Symposium on Multimedia … | 2023-10-23 |
| 360 | Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These artificial media … |
Amal Naitali; Mohammed Ridouani; Fatima Salahdine; N. Kaabouch; | Comput. | 2023-10-23 |
| 361 | Robust Audio Anti-Spoofing System Based on Low-Frequency Sub-Band Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The current audio anti-spoofing systems usually have a computationally complex architecture without providing the fundamental discriminative factors for the detection judgments. … |
Meng Li; Xiao-Ping Zhang; | 2023 IEEE Workshop on Applications of Signal Processing to … | 2023-10-22 |
| 362 | SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel sequential attentive face embedding, SAFE, that can capture facial dynamics in a deepfake video. |
Juho Jung; Chaewon Kang; Jeewoo Yoon; Simon S. Woo; Jinyoung Han; | cikm | 2023-10-21 |
| 363 | AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the recent success of Transformer in various fields, to address the challenges posed by deepfake technology, in this paper, we propose an Audio-Visual Transformer-based Ensemble Network (AVTENet) framework that considers both acoustic manipulation and visual manipulation to achieve effective video forgery detection. |
Ammarah Hashmi; Sahibzada Adil Shahzad; Chia-Wen Lin; Yu Tsao; Hsin-Min Wang; | arxiv-cs.CV | 2023-10-19 |
| 364 | Unmasking DeepFake Visual Content with Generative AI Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in deep learning-based generative models have increased the proliferation of fake media, which has caused severe unrest globally. These generative models can … |
Mohendra Roy; Mehul S Raval; | 2023 IEEE 11th Region 10 Humanitarian Technology Conference … | 2023-10-16 |
| 365 | What You See Is Not What You Know: Studying Deception in Deepfake Video Manipulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Research indicates that deceitful videos tend to spread rapidly online and influence people’s opinions and ideas. Because of this, video misinformation via deepfake video … |
Cathryn Allen; Bryson Payne; Tamirat T. Abegaz; Chuck Robertson; | Journal of Cybersecurity Education Research and Practice | 2023-10-16 |
| 366 | Joint Audio-Visual Attention with Contrastive Learning for More General Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous advancement of deepfake technology, there has been a surge in the creation of realistic fake videos. Unfortunately, the malicious utilization of deepfake poses … |
Yibo Zhang; Weiguo Lin; Junfeng Xu; | ACM Transactions on Multimedia Computing, Communications … | 2023-10-11 |
| 367 | Facial Forgery-based Deepfake Detection Using Fine-Grained Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate deepfake detection as a fine-grained classification problem and propose a new fine-grained solution to it. |
Aakash Varma Nadimpalli; Ajita Rattani; | arxiv-cs.CV | 2023-10-10 |
| 368 | Exploring Neurophysiological Responses to Cross-Cultural Deepfake Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake videos, which use artificial intelligence techniques to create realistic but fabricated footage, have raised concerns regarding their potential to deceive and manipulate … |
MUHAMMAD RIYYAN KHAN et. al. | Companion Publication of the 25th International Conference … | 2023-10-09 |
| 369 | Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Meanwhile, attaining cross-domain robustness for data-based methods poses a challenge due to potential gaps in the training data, which may not encompass samples from all relevant domains. Therefore, in this paper, we introduce a solution – a Cross-Domain Robust Bias Expansion Network (BENet) – designed to enhance face forgery detection. |
Weihua Liu; Lin Li; Chaochao Lin; Said Boumaraf; | arxiv-cs.CV | 2023-10-08 |
| 370 | Deepfake Face Provenance for Proactive Forensics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Malicious deepfake face not only violates the privacy of personal identities, but also confuses the public and causes huge social harm. The current deepfake detection only stays … |
Jiaxin Ai; Zhongyuan Wang; Baojin Huang; Zhen Han; Qin Zou; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 371 | CDNet: Cluster Decision for Deepfake Detection Generalization IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The fast development of deepfake generation technology has caused serious security threats to human society. Many deep-fake detection methods have been proposed recently, but most … |
Zeming Hou; Zhongyun Hua; Kuiyuan Zhang; Yushu Zhang; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 372 | Improving Generalization in Facial Manipulation Detection Using Image Noise Residuals and Temporal Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The high visual quality of modern deepfakes raises significant concerns about the trustworthiness of digital media and makes facial tampering detection more challenging. Although … |
Mehdi Atamna; Iuliia Tkachenko; Serge Miguet; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 373 | Integrating Audio-Visual Features for Multimodal Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods for audio-visual detection do not always surpass that of the analysis based on single modalities. Therefore, this paper proposes an audio-visual-based method for deepfake detection, which integrates fine-grained deepfake identification with binary classification. |
Sneha Muppalla; Shan Jia; Siwei Lyu; | arxiv-cs.CV | 2023-10-05 |
| 374 | Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While several deep learning models for speech synthesis detection have been developed, most of them show poor generalizability, especially when the attacks have different statistical distributions from the ones seen. Therefore, this paper presents Quick-SpoofNet, an approach for detecting both seen and unseen synthetic attacks in the ASV system using one-shot learning and metric learning techniques. |
Awais Khan; Khalid Mahmood Malik; | arxiv-cs.SD | 2023-10-05 |
| 375 | Improving Deepfake Detectors Against Real-world Perturbations with Amplitude-phase Switch Augmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the remarkable progress in facial manipulation techniques has raised social concerns due to their potential malicious usage and has received considerable … |
Yuhang Lu; Ruizhi Luo; Touradj Ebrahimi; | Optical Engineering + Applications | 2023-10-04 |
| 376 | MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the problem at the representation level to aid the fusion of audio and visual streams for multimodal deepfake detection. |
Vinaya Sree Katamneni; Ajita Rattani; | arxiv-cs.CV | 2023-10-03 |
| 377 | Interpretable-through-prototypes Deepfake Detection for Diffusion Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The process of recognizing and distinguishing between real content and content generated by deep learning algorithms, often referred to as deepfakes, is known as deepfake … |
Agil Aghasanli; D. Kangin; P. Angelov; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-10-02 |
| 378 | Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generalizability is seen as the hallmark quality of a good deepfake detection model. However, standard out-of-domain evaluation datasets are very similar in form to the training … |
Sarthak Kamat; S. Agarwal; Trevor Darrell; Anna Rohrbach; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-10-02 |
| 379 | How Close Are Other Computer Vision Tasks to Deepfake Detection? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we challenge the conventional belief that supervised ImageNet-trained models have strong generalizability and are suitable for use as feature extractors in deepfake detection. |
Huy H. Nguyen; Junichi Yamagishi; Isao Echizen; | arxiv-cs.CV | 2023-10-02 |
| 380 | Current Usage Areas of Deepfake Applications with Artificial Intelligence Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The concept of artificial intelligence has gained significant prominence throughout history, persisting as a subject of regular discussion and exploration in contemporary times. … |
Büşra Kiliç; Mehmet Emin Kahraman; | İletişim ve Toplum Araştırmaları Dergisi | 2023-10-02 |
| 381 | The Realness of Fakes: Primary Evidence of The Effect of Deepfake Personas on User Perceptions in A Design Task Related Papers Related Patents Related Grants Related Venues Related Experts View |
ILKKA KAATE et. al. | Int. J. Hum. Comput. Stud. | 2023-10-01 |
| 382 | Survey On “Deepvision’s Human Eye Blink Pattern Analysis for Deepfake Detection” Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology has rapidly evolved, enabling the creation of highly convincing synthetic media, including images, videos, and audio recordings. These maliciously manipulated … |
Prof. Pooja V. Baravkar; Namita Survase; Sakshi Shrimandale; Gaurav Hande; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2023-10-01 |
| 383 | CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although existing detection methods have shown high performance in identifying forgeries within datasets that use the same deepfake techniques for both training and testing, they suffer from sharp performance degradation when faced with cross-dataset scenarios where unseen deepfake techniques are tested. To address this challenge, we propose a Deep Information Decomposition (DID) framework to enhance the performance of Cross-dataset Deepfake Detection (CrossDF). |
SHANMIN YANG et. al. | arxiv-cs.CV | 2023-09-30 |
| 384 | Towards Understanding The Generalization of Deepfake Detectors from A Game-Theoretical View Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to explain the generalization of deepfake detectors from the novel perspective of multi-order interactions among visual concepts. |
Kelu Yao; Jin Wang; Boyu Diao; Chao Li; | iccv | 2023-09-27 |
| 385 | Robust Deepfake Audio Detection Via Bi-Level Optimization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: ASVspoof Challenges have been launched to motivate research on Deepfake audio detection due to its threats to society. However, the state-of-the-art detection models produce an … |
Menglu Li; Yasaman Ahmadiadli; Xiao-Ping Zhang; | 2023 IEEE 25th International Workshop on Multimedia Signal … | 2023-09-27 |
| 386 | Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a universal intra-model collaborative learning framework to enable the effective and simultaneous detection of different quality of deepfakes. |
Binh M. Le; Simon S. Woo; | iccv | 2023-09-27 |
| 387 | Contrastive Pseudo Learning for Open-World DeepFake Attribution IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To push the related frontier research, we introduce a new benchmark called Open-World DeepFake Attribution (OW-DFA), which aims to evaluate attribution performance against various types of fake faces under open-world scenarios. |
ZHIMIN SUN et. al. | iccv | 2023-09-27 |
| 388 | Multi-Label Deepfake Classification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we investigate the suitability of current multi-label classification approaches for deepfake detection. With the recent advances in generative modeling, new … |
I. Singh; Nesryne Mejri; Van Dat Nguyen; Enjie Ghorbel; Djamila Aouada; | 2023 IEEE 25th International Workshop on Multimedia Signal … | 2023-09-27 |
| 389 | AraFake: A Deep Learning Approach for Arabic Fake News Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this digital age, the proliferation of false Arabic news has become prevalent, posing various risks to society. This paper uses Machine Learning, Deep Learning, and Natural … |
Diaa Salama Abd Elminaam; Amr Abdelaziz; George Essam; Shehab Eldeen Mohamed; | 2023 International Mobile, Intelligent, and Ubiquitous … | 2023-09-27 |
| 390 | Deepfake Smiles Matter Less-the Psychological and Neural Impact of Presumed AI-generated Faces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: High-quality AI-generated portraits (deepfakes) are becoming increasingly prevalent. Understanding the responses they evoke in perceivers is crucial in assessing their societal … |
Anna Eiserbeck; Martin Maier; Julia Baum; Rasha Abdel Rahman; | Scientific reports | 2023-09-26 |
| 391 | Robust Sequential DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This new threat requires us to detect a sequence of facial manipulations, which is vital for both detecting deepfake media and recovering original faces afterwards. Motivated by this observation, we emphasize the need and propose a novel research problem called Detecting Sequential DeepFake Manipulation (Seq-DeepFake). |
Rui Shao; Tianxing Wu; Ziwei Liu; | arxiv-cs.CV | 2023-09-26 |
| 392 | Text-image Guided Diffusion Model for Generating Deepfake Celebrity Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper devises and explores a novel method in that regard. |
Yunzhuo Chen; Nur Al Hasan Haldar; Naveed Akhtar; Ajmal Mian; | arxiv-cs.CV | 2023-09-26 |
| 393 | DFGC-VRA: DeepFake Game Competition on Visual Realism Assessment Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: This paper presents the summary report on the DeepFake Game Competition on Visual Realism Assessment (DFGC-VRA). Deep-learning based face-swap videos, also known as deepfakes, are … |
BO PENG et. al. | 2023 IEEE International Joint Conference on Biometrics … | 2023-09-25 |
| 394 | ProActive DeepFake Detection Using GAN-based Visible Watermarking IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advances in generative adversarial networks (GAN), facial manipulations called DeepFakes have caused major security risks and raised severe societal concerns. However, … |
Aakash Varma Nadimpalli; A. Rattani; | ACM Transactions on Multimedia Computing, Communications … | 2023-09-24 |
| 395 | Beyond Deep Fakes Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A conceptual framework and research agenda for neural rendering of realistic digital faces. … |
Mike Seymour; Kai Riemer; L. Yuan; Alan R. Dennis; | Communications of the ACM | 2023-09-22 |
| 396 | Boosting Deepfake Detection Features with Attention Units Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the emerging problems of deep learning technology is deepfake videos with easy access to powerful and inexpensive computing power; The internet is littered with fake … |
Saima Waseem; Syed A. R. Abu-Bakar; Z. Omar; Bilal Ashfaq Ahmed; Saba Baloch; | Proceedings of the 2023 5th World Symposium on Software … | 2023-09-22 |
| 397 | ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos Using Prototype Exploration and Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although prototype-based methods have been introduced for the detection of deepfake videos, their use in real-world scenarios still presents major challenges, in that prototypes tend to be overly similar and interpretability varies between prototypes. This paper proposes a Visual Analytics process model for prototype learning, and, based on this, presents ProtoExplorer, a Visual Analytics system for the exploration and refinement of prototype-based deepfake detection models. |
Merel de Leeuw den Bouter; Javier Lloret Pardo; Zeno Geradts; Marcel Worring; | arxiv-cs.AI | 2023-09-20 |
| 398 | Assessing The Human Ability to Recognize Synthetic Speech in Ordinary Conversation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work assesses the human ability to recognize synthetic speech (deepfake). This paper describes an experiment in which we communicated with respondents using voice messages. … |
Daniel Prudký; Anton Firc; K. Malinka; | 2023 International Conference of the Biometrics Special … | 2023-09-20 |
| 399 | How Do Users Perceive Deepfake Personas? Investigating The Deepfake User Perception and Its Implications for Human-Computer Interaction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although deepfakes have a negative connotation in human-computer interaction (HCI) due to their risks, they also involve many opportunities, such as communicating user needs in … |
Ilkka Kaate; Joni O. Salminen; Soon-Gyo Jung; Hind Almerekhi; Bernard J. Jansen; | Proceedings of the 15th Biannual Conference of the Italian … | 2023-09-20 |
| 400 | Multimodal Neurosymbolic Approach for Explainable Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection has become increasingly important in recent years owing to the widespread availability of deepfake generation technologies. Existing deepfake detection methods … |
I. Haq; K. Malik; Khan Muhammad; | ACM Transactions on Multimedia Computing, Communications … | 2023-09-20 |
| 401 | A Dynamic Ensemble Selection of Deepfake Detectors Specialized for Individual Face Parts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of deepfake technology, based on deep learning, has made it easier to create images of fake human faces that are indistinguishable from the real thing. Many … |
Akihisa Kawabe; Ryuto Haga; Yoichi Tomioka; Jungpil Shin; Y. Okuyama; | Electronics | 2023-09-18 |
| 402 | ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake detection is a focus of extensive research to combat the proliferation of manipulated media. Existing approaches suffer from limited generalizability and struggle to … |
Eun-Gi Lee; Isack Lee; S. Yoo; | Mathematics | 2023-09-17 |
| 403 | A Comparative Analysis of Fake Image Detection in Generative Adversarial Networks and Variational Autoencoders Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rise of deep fake technology has led to growing concerns about its potential misuse for propaganda, disinformation, and even cybercrimes. Deep fake detection has thus become a … |
Mohammed Berrahal; Mohammed Boukabous; Idriss Idrissi; | 2023 International Conference on Decision Aid Sciences and … | 2023-09-16 |
| 404 | A Comparative Analysis of Deepfake Detection Techniques: A Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Every person in this new generation has access to all of humanity’s wisdom. Many technological possibilities are available. Nonetheless, we misuse this benefit by using deepfake … |
Munleef Quadir; Prateek Agrawal; Charu Gupta; | 2023 6th International Conference on Contemporary Computing … | 2023-09-14 |
| 405 | NÃO ACREDITE EM TUDO QUE VÊ: DEEPFAKE PORNOGRAPHY E RESPONSABILIDADE CIVIL NO ORDENAMENTO JURÍDICO BRASILEIRO Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Contextualização: O fenômeno da desinformação vem sendo alvo de preocupação na esfera mundial, especialmente quando se trata de eleições e ameaças à democracia. Em 2018, nos … |
Felipe Chiarello de Souza Pinto; Gabriela Franklin de Oliveira; | Revista Eletrônica Direito e Política | 2023-09-14 |
| 406 | Proposed DeepFake Detection Method Using Multiwavelet Transform Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Videos made by artificial intelligence (A.I.) seem real, but they are not. When making DeepFake videos, face-swapping methods are frequently employed. The misuse of technology … |
Saadi Mohammed Saadi; W. A. Mahmoud Al-Jawher; | International Journal of Innovative Computing | 2023-09-13 |
| 407 | Fake News Detection Using Cellular Automata Based Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake News detection is one of the concerns of the modern era. We have many mechanisms to identify the fake news from various sources. Still there is a need of a precise and more … |
P. SREE et. al. | 2023 3rd International Conference on Computing and … | 2023-09-13 |
| 408 | Towards Generalisable and Calibrated Audio Deepfake Detection with Self-supervised Representations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generalisation — the ability of a model to perform well on unseen data — is crucial for building reliable deepfake detectors. However, recent studies have shown that the current … |
Dan Oneaţă; Adriana Stan; Octavian Pascu; Elisabeta Oneata; H. Cucu; | Interspeech 2024 | 2023-09-11 |
| 409 | Fact or Fake? The Search for Truth in An Infodemic of Disinformation, Misinformation, and Malinformation with Deepfake and Fake News Related Papers Related Patents Related Grants Related Venues Related Experts View |
Weng Marc Lim; | Journal of Strategic Marketing | 2023-09-07 |
| 410 | An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Partially spoofed audio detection is a challenging task, lying in the need to accurately locate the authenticity of audio at the frame level. To address this issue, we propose a fine-grained partially spoofed audio detection method, namely Temporal Deepfake Location (TDL), which can effectively capture information of both features and locations. |
Yuankun Xie; Haonan Cheng; Yutian Wang; Long Ye; | arxiv-cs.SD | 2023-09-06 |
| 411 | Comparative Analysis of Deep-Fake Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim to provide a comprehensive review of the current state of deepfake creation and detection technologies. |
Nikhil Sontakke; Sejal Utekar; Shivansh Rastogi; Shriraj Sonawane; | arxiv-cs.CV | 2023-09-06 |
| 412 | Exposing Deepfake Using Fusion of Deep-learned and Hand-crafted Features Related Papers Related Patents Related Grants Related Venues Related Experts View |
Amr Megahed; Qi Han; Sondos M. Fadl; | Multim. Tools Appl. | 2023-09-05 |
| 413 | Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The rise of deepfake images, especially of well-known personalities, poses a serious threat to the dissemination of authentic information. To tackle this, we present a thorough investigation into how deepfakes are produced and how they can be identified. |
Haixu Song; Shiyu Huang; Yinpeng Dong; Wei-Wei Tu; | arxiv-cs.CV | 2023-09-05 |
| 414 | FSD: An Initial Chinese Dataset for Fake Song Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Thus, we employ the FSD dataset for the training of ADD models. We subsequently evaluate these models under two scenarios: one with the original songs and another with separated vocal tracks. |
YUANKUN XIE et. al. | arxiv-cs.SD | 2023-09-05 |
| 415 | Turn Fake Into Real: Adversarial Head Turn Attacks Against Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Malicious use of deepfakes leads to serious public concerns and reduces people’s trust in digital media. Although effective deepfake detectors have been proposed, they are … |
Weijie Wang; Zhengyu Zhao; N. Sebe; B. Lepri; | ArXiv | 2023-09-03 |
| 416 | Timbre-Reserved Adversarial Attack in Speaker Identification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a type of biometric identification, speaker identification (SID) systems face various attacks. Spoofing attacks imitate target speakers’ timbre, while adversarial attacks … |
Qing Wang; Jixun Yao; Li Zhang; Pengcheng Guo; Linfu Xie; | IEEE/ACM Transactions on Audio, Speech, and Language … | 2023-09-02 |
| 417 | On The Effectiveness of Handcrafted Features for Deepfake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. Recent developments in advanced generative deep learning techniques have led to considerable progress in deepfake technology. CNN-based deepfake detection approaches … |
Bachir Kaddar; Sid Ahmed Fezza; W. Hamidouche; Zahid Akhtar; A. Hadid; | Journal of Electronic Imaging | 2023-09-01 |
| 418 | Deepfake Satire and The Possibilities of Synthetic Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article explores the rise of deepfake satire as one of the most vibrant subgenres of experimentation within the expanding field of AI art. A combination of “deep learning” … |
Joshua Glick; | Afterimage | 2023-09-01 |
| 419 | It Looks Like Me, But It Isn’t Me: On The Societal Implications of Deepfakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are images or videos generated using deep learning technology to change the original conditions of a piece of media. Potential uses of this technology range from … |
Jennifer A. Fehring; Tamara Bonaci; | IEEE Potentials | 2023-09-01 |
| 420 | DeepFake Deception: A Comprehensive Analysis of DeepFake Technology and Its Effects on Ethics, Politics and Society Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Our research examines the tremendous effects of deepfake technology on politics, culture, and ethics in the modern day. This investigation is comparable to the spread of … |
Tanvi S Achyut; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2023-09-01 |
| 421 | AutoKeras for Fake News Identification in Arabic: Leveraging Deep Learning with An Extensive Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social media and the World Wide Web have led to a worrying rise in spreading false information, which presents a significant worldwide issue. Identifying and preventing false … |
Raed S. Matti; Suhad A. Yousif; | Al-Nahrain Journal of Science | 2023-09-01 |
| 422 | Unmasking Deception: Empowering Deepfake Detection with Vision Transformer Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of image-generating technologies, significant progress has been made in the field of facial manipulation techniques. These techniques allow people to easily … |
MUHAMMAD ASAD ARSHED et. al. | Mathematics | 2023-08-29 |
| 423 | Audio Deepfake Detection: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For each aspect, the basic techniques, advanced developments and major challenges are discussed. |
JIANGYAN YI et. al. | arxiv-cs.SD | 2023-08-28 |
| 424 | Attending Generalizability in Course of Deep Fake Detection By Exploring Multi-task Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work explores various ways of exploring multi-task learning (MTL) techniques aimed at classifying videos as original or manipulated in cross-manipulation scenario to attend generalizability in deep fake scenario. |
Pranav Balaji; Abhijit Das; Srijan Das; Antitza Dantcheva; | arxiv-cs.CV | 2023-08-25 |
| 425 | Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This technology poses a significant ethical threat and could lead to breaches of privacy and misrepresentation, thus there is an urgent need for real-time detection of AI-generated speech for DeepFake Voice Conversion. To address the above emerging issues, the DEEP-VOICE dataset is generated in this study, comprised of real human speech from eight well-known figures and their speech converted to one another using Retrieval-based Voice Conversion. |
Jordan J. Bird; Ahmad Lotfi; | arxiv-cs.SD | 2023-08-24 |
| 426 | A Generalized Deep Markov Random Fields Framework for Fake News Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current methods are often fully supervised and typically employ deep neural networks (DNN) to learn implicit relevance from labeled data, ignoring explicitly shared properties (e.g., inflammatory expressions) across fake news. To address this limitation, we propose a graph-theoretic framework, called Generalized Deep Markov Random Fields Framework (GDMRFF), that inherits the capability of deep learning while at the same time exploiting the correlations among the news articles (including labeled and unlabeled data). |
YIQI DONG et. al. | ijcai | 2023-08-23 |
| 427 | Fake News Detection Using A Deep Learning Transformer Based Encoder-decoder Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news production, accessibility, and consumption have all increased with the rise of internet-connected gadgets and social media platforms. A good fake news detection system … |
M. B. Narayanan; Arun Kumar Ramesh; K. Gayathri; A. Shahina; | J. Intell. Fuzzy Syst. | 2023-08-23 |
| 428 | A Conformer-based Classifier for Variable-length Utterance Processing in Anti-spoofing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The success achieved by conformers in Automatic Speech Recognition (ASR) leads us to their application in other domains, such as spoofing detection for automatic speaker … |
Eros Rosello; Alejandro Gomez-Alanis; A. Gómez; A. Peinado; | Interspeech | 2023-08-20 |
| 429 | Learning A Self-Supervised Domain-Invariant Feature Representation for Generalized Audio Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, Audio Deepfake Detection (ADD) models have shown promising results in intra-domain. However, they do not perform well in cross-domain scenarios. This is mainly … |
Yuankun Xie; Haonan Cheng; Yutian Wang; Long Ye; | INTERSPEECH 2023 | 2023-08-20 |
| 430 | Recap: Detecting Deepfake Video with Unpredictable Tampered Traces Via Recovering Faces and Mapping Recovered Faces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the limitation, we propose Recap, a novel Deepfake detection model that exposes unspecific facial part inconsistencies by recovering faces and enlarges the differences between real and fake by mapping recovered faces. |
JUAN HU et. al. | arxiv-cs.CV | 2023-08-19 |
| 431 | Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While spectrograms have demonstrated their capability for anti-spoofing, complementary information presented in multi-order spectral patterns have not been well explored, which limits their effectiveness for varying spoofing attacks. Therefore, we propose a novel deep learning method with a spectral fusion-reconstruction strategy, namely S2pecNet, to utilise multi-order spectral patterns for robust audio anti-spoofing representations. |
PENGHUI WEN et. al. | arxiv-cs.SD | 2023-08-18 |
| 432 | Deep Fake Video Detection Using Unsupervised Learning Models: Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The recent decade has been the most emerging for technical advancements in computer and communication fields. These advancements have made the task of automation much cheaper and … |
B. N. Jyothi; Jntuh Research Scholar; M. A. Jabbar; | 2023 Second International Conference On Smart Technologies … | 2023-08-18 |
| 433 | Fake News Detection Via Deep Learning Approaches Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsubstantiated information on social media that is usually published to mislead the public is generally considered fake news. Fake news on the Internet may have a bad orientation … |
Mingxuan Li; | 2023 4th International Symposium on Computer Engineering … | 2023-08-18 |
| 434 | Uncovering Semantic Inconsistencies and Deceptive Language in False News Using Deep Learning and NLP Techniques for Effective Management IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In today’s information age, false news and deceptive language have become pervasive, leading to significant challenges for individuals, organizations, and society as a whole. This … |
Yash Chopra; Priyanka Kaushik; Saurabh Pratap Singh Rathore; Pramneet Kaur; | International Journal on Recent and Innovation Trends in … | 2023-08-18 |
| 435 | Deep Fake Face Detection Using Convolutional Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: More fake face image generators have emerged worldwide owing to the growth of Face Image Modification (FIM) tools like Face2Face and Deepfake, which pose a severe threat to public … |
MJ ALBEN RICHARDS et. al. | 2023 12th International Conference on Advanced Computing … | 2023-08-17 |
| 436 | The Effect of Media Literacy on Misinformation and Deep Fake Video Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Misinformation has become a major problem in virtually all societies. The emergence of deepfake AI technology has only exacerbated issues around misinformation and disinformation. … |
Sarah Shawky El Mokadem; | Arab Media & Society | 2023-08-14 |
| 437 | Recent Advancements In The Field Of Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: So, in this survey we will address the problems of malicious deepfake creation and the lack of universal deepfake detection methods. |
Natalie Krueger; Dr. Mounika Vanamala; Dr. Rushit Dave; | arxiv-cs.AI | 2023-08-10 |
| 438 | Digital Face Manipulation Creation and Detection: A Systematic Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The introduction of publicly available large-scale datasets and advances in generative adversarial networks (GANs) have revolutionized the generation of hyper-realistic facial … |
Minh Dang; Tan N. Nguyen; | Electronics | 2023-08-10 |
| 439 | Unmasking The Truth: A Deep Learning Approach to Detecting Deepfake Audio Through MFCC Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake content is artificially created or altered using artificial intelligence (AI) methods to appear real. Synthesis can include audio, video, images, and text. Deepfakes may … |
Islam Altalahin; Shadi Alzu’bi; Assal A. M. Alqudah; Ala Mughaid; | 2023 International Conference on Information Technology … | 2023-08-09 |
| 440 | How Generalizable Are Deepfake Image Detectors? An Empirical Study Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present the first empirical study on the generalizability of deepfake detectors, an essential goal for detectors to stay one step ahead of attackers. |
Boquan Li; Jun Sun; Christopher M. Poskitt; Xingmei Wang; | arxiv-cs.CV | 2023-08-08 |
| 441 | Deepfake Detection: A Comparative Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper present a comprehensive comparative analysis of supervised and self-supervised models for deepfake detection. |
Sohail Ahmed Khan; Duc-Tien Dang-Nguyen; | arxiv-cs.CV | 2023-08-07 |
| 442 | A Comparative Study on Laws and Actions Taken in Border Countries of India on Deepfake Technology Misuse, Recommendations for Indian Government Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology’s rise in popularity has sparked both interest and concern. This study focuses on the laws and actions taken by border countries of India, including China, … |
Rakesh G K; | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2023-08-05 |
| 443 | An Investigation of The Effectiveness of Deepfake Models and Tools IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of computer vision and deep learning technologies, rapidly expanding approaches have been introduced that allow anyone to create videos and pictures that are … |
MD. SADDAM HOSSAIN MUKTA et. al. | J. Sens. Actuator Networks | 2023-08-04 |
| 444 | MMDFD- A Multimodal Custom Dataset for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A multi-modal deepfake dataset is relevant in addressing the growing concern of deepfake misuse, which poses a significant security and privacy threat. Deepfakes are becoming … |
A. S; V. P; Varun G. Menon; | Proceedings of the 2023 Fifteenth International Conference … | 2023-08-03 |
| 445 | Head Pose Estimation Patterns As Deepfake Detectors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The capacity to create ”fake” videos has recently raised concerns about the reliability of multimedia content. Identifying between true and false information is a critical step … |
Federico Becattini; C. Bisogni; V. Loia; Chiara Pero; Fei Hao; | ACM Transactions on Multimedia Computing, Communications … | 2023-08-03 |
| 446 | Attacking Identity Semantics in DeepFakes Via Deep Feature Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: DeepFake is now widely known for forging and fabricating falsified faces. In recent years, forensic researchers have built many algorithms as countermeasures against DeepFake. … |
Bing Fan; Zihan Jiang; Shu Hu; Feng Ding; | 2023 IEEE 6th International Conference on Multimedia … | 2023-08-01 |
| 447 | All-for-One and One-For-All: Deep Learning-based Feature Fusion for Synthetic Speech Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider three different feature sets proposed in the literature for the synthetic speech detection task and present a model that fuses them, achieving overall better performances with respect to the state-of-the-art solutions. |
Daniele Mari; Davide Salvi; Paolo Bestagini; Simone Milani; | arxiv-cs.SD | 2023-07-28 |
| 448 | Deepfake Technology: A Criminological Literature Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cybercrimes are rapidly evolving with the advancement of technology and reaching new dimensions. Deepfake technology, which is the subject of this article, has also become a part … |
F. Arslan; | Sakarya Üniversitesi Hukuk Fakültesi Dergisi | 2023-07-27 |
| 449 | Deepfake Image Generation for Improved Brain Tumor Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work investigates the feasibility of employing deep-fake image generation for effective brain tumor segmentation. |
Roa’a Al-Emaryeen; Sara Al-Nahhas; Fatima Himour; Waleed Mahafza; Omar Al-Kadi; | arxiv-eess.IV | 2023-07-26 |
| 450 | A Unified Framework for Modality-Agnostic Deepfakes Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a comprehensive framework that is agnostic to fake modalities, which facilitates the identification of multimodal deepfakes and handles situations with missing modalities, regardless of the manipulations embedded in audio, video, or even cross-modal forms. |
CAI YU et. al. | arxiv-cs.MM | 2023-07-26 |
| 451 | Deep Learning Approach for Detecting Audio Deepfakes in Urdu Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The application of Deep Learning algorithms for speech synthesis has led to the widespread generation of Audio Deepfakes, which are becoming a real threat to voice interfaces. … |
Marium Mateen; Narmeen Zakaria Bawany; | NUML International Journal of Engineering and Computing | 2023-07-26 |
| 452 | Data Augmentation and Hybrid Feature Amalgamation to Detect Audio Deep Fake Attacks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The ability to distinguish between authentic and fake audio is become increasingly difficult due to the increasing accuracy of text-to-speech models, posing a serious threat to … |
N. Chakravarty; M. Dua; | Physica Scripta | 2023-07-24 |
| 453 | An Appraisal of The Implications of Deep Fakes: The Need for Urgent International Legislations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Purpose: Artificial intelligence as a subfield of the Fourth Industrial Revolution has been a controversial concept since its inception. The reason for its controversy is that … |
Nmesoma Nnamdi; Dr. O. A. Oniyinde; Dr. B. Abegunde; | American Journal of Leadership and Governance | 2023-07-23 |
| 454 | Unseen Codec Spoof Speech Detection Based on Channel-Robust Feature Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For speech anti-spoofing, the ability of countermeasures (CMs) to cope with unseen attacks has been under scrutiny. Since the previous LA attack was mainly for ASV, which required … |
Yupeng Zhu; Zuxing Zhao; Fan Li; Yanxiang Chen; | Proceedings of the 2023 3rd International Conference on … | 2023-07-21 |
| 455 | Deepfake Satellite Imagery Detection with Multi-Attention and Super Resolution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake satellite imagery detection is a crucial task in the era of digital deception, as the ability to manipulate and generate fake satellite images poses significant risks and … |
U. Ciftci; Ilke Demir; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 456 | Real and Fake Face Detection: A Comprehensive Evaluation of Machine Learning and Deep Learning Techniques for Improved Performance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The progress of digital manipulation methods has led to the creation of incredibly realistic fake faces, making it more challenging for humans to differentiate between genuine and … |
Noha A. Saad Eldien; Raghda Essam Ali; Farid Ali Moussa; | 2023 Intelligent Methods, Systems, and Applications (IMSA) | 2023-07-15 |
| 457 | The Detection of Fake News in Arabic Tweets Using Deep Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news has been around for a long time, but the rise of social networking applications over recent years has rapidly increased the growth of fake news among individuals. The … |
Shatha Alyoubi; Manal Kalkatawi; Felwa A. Abukhodair; | Applied Sciences | 2023-07-14 |
| 458 | Deepfake Video Detection Using Generative Convolutional Vision Transformer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a Generative Convolutional Vision Transformer (GenConViT) for deepfake video detection. |
Deressa Wodajo; Solomon Atnafu; Zahid Akhtar; | arxiv-cs.CV | 2023-07-13 |
| 459 | Deepfake Audio Detection with Vision Transformer Based Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In addition to easy access to audio on the Internet, developments in deep learning methods have made it possible to produce deep fake audio. Deep fake audio spoofing is carried … |
G. Ulutaş; Gul Tahaoglu; Beste Ustubioglu; | 2023 46th International Conference on Telecommunications … | 2023-07-12 |
| 460 | GAN Discriminator Based Audio Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake is a new technology that has emerged in recent times and is becoming one of the great challenges for society and individuals. In particular, scammers could use deepfake … |
Thien-Phuc Doan; Kihun Hong; Souhwan Jung; | Proceedings of the 2nd Workshop on Security Implications of … | 2023-07-10 |
| 461 | On The Application of Synthetic Media to Penetration Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Artificial Intelligence (AI) is currently a hot topic. The explosion of AI technologies that create Synthetic Media (SM), such as Deep Fakes (DF), is worrisome, especially since … |
Nathalia Soares; Steven Seiden; I. Baggili; Andrew Webb; | Proceedings of the 2nd Workshop on Security Implications of … | 2023-07-10 |
| 462 | FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, a fake talking face detection network (FTFDNet) is proposed by incorporating visual, audio and motion features using an efficient cross-modal fusion (CMF) module. |
GANGLAI WANG et. al. | arxiv-cs.CV | 2023-07-08 |
| 463 | Deepfake Detection System Using A Hybrid Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There has been a rapid advancement in deep fake technology in recent years, which makes it increasingly difficult to detect fake images, especially those involving human faces, … |
Sudharson S; Priyanka Kokil; S. D; Penta Aravinda Swamy; | 2023 14th International Conference on Computing … | 2023-07-06 |
| 464 | Face/Off: Changing The Face of Movies with Deepfakes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There are growing concerns about the potential for deepfake technology to spread misinformation and distort memories, though many also highlight creative applications such as … |
Gillian Murphy; Didier Ching; John Twomey; Conor Linehan; | PloS one | 2023-07-06 |
| 465 | Generation And Detection of Deepfakes Using Generative Adversarial Networks (GANs) and Affine Transformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology has gained significant attention and notoriety in recent years for its ability to manipulate visual and audio content, leading to widespread concerns about its … |
Dr. J. Vijaya; Amaan A. Kazi; Kishan G. Mishra; Avala Praveen; | 2023 14th International Conference on Computing … | 2023-07-06 |
| 466 | AAFNDL – An Accurate Fake Information Recognition Model Using Deep Learning for The Vietnamese Language Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: On the Internet, fake news is a common phenomenon that frequently disturbs society because it contains intentionally false information. The issue has been actively researched … |
Nguyen Hung; Thang Loi; N. Huong; Tran Thi Hang; Truong Huong; | Informatics and Automation | 2023-07-06 |
| 467 | Fake News Detection Using Deep Learning and Transformer-Based Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fake news has a tremendous impact especially in certain fields like politics and economy in our society. The rise of social media usage to an extent is in favour of fake/false … |
Paliwal Mohan Subhash; Deepa Gupta; Suja Palaniswamy; Manju Venugopalan; | 2023 14th International Conference on Computing … | 2023-07-06 |
| 468 | Optimization of DeepFake Video Detection Using Image Preprocessing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has been evolving recently which allowed it to handle complex problems like big data, computer vision, and human-level control. One of the deep learning-powered … |
Ali Berjawi; Khouloud Samrouth; O. Déforges; | 2023 Fifth International Conference on Advances in … | 2023-07-05 |
| 469 | Combatting Fake News: A Global Priority Post COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper reviews some academic works on fake news published in Spain in the last seven years, a period in which the 2016 and 2020 US elections and the COVID-19 pandemic marked a … |
Elvira Calvo-Gutiérrez; Carles Marín-Lladó; | Societies | 2023-07-05 |
| 470 | DeepFake Videos Detection By Using Recurrent Neural Network (RNN) IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the last few years, the increasing development of various tools to make fake videos from real videos has been raised. Thus, several models/approaches have been constructed to … |
ALI ABDULZAHRA MOHSIN ALBAZONY et. al. | 2023 Al-Sadiq International Conference on Communication and … | 2023-07-04 |
| 471 | Linguistic Features and Bi-LSTM for Identification of Fake News Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the spread of Internet technologies, the use of social media has increased exponentially. Although social media has many benefits, it has become the primary source of … |
ATTAR AHMED ALI et. al. | Electronics | 2023-07-04 |
| 472 | An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper builds an end-to-end multi-module synthetic speech generation model, including speaker encoder, synthesizer based on Tacotron2, and vocoder based on WaveRNN. |
Sheng Zhao; Qilong Yuan; Yibo Duan; Zhuoyue Chen; | arxiv-cs.SD | 2023-07-02 |
| 473 | DeepFakeDG: A Deep Learning Approach for Deep Fake Detection and Generation Related Papers Related Patents Related Grants Related Venues Related Experts View |
D. Abdelminaam; Natalie S. Sherif; zeina Ayman; Maria Mohamed; Mohamed Hazem; | Journal of Computing and Communication | 2023-07-01 |
| 474 | Transferemble: A Classification Method for The Detection of Fake Satellite Images Created with Deep Convolutional Generative Adversarial Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract. As the number of government and commercial satellites increases, there is a large increase in Earth observation (EO) imagery. Using different locations and tools, images … |
Selim Sürücü; B. Diri; | Journal of Electronic Imaging | 2023-07-01 |
| 475 | Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Highly realistic imaging and video synthesis have become possible and relatively simple tasks with the rapid growth of generative adversarial networks (GANs). GAN-related … |
Guan-Lin Chen; Chih-Chung Hsu; | IEEE transactions on pattern analysis and machine … | 2023-06-30 |
| 476 | Deep Learning for Fake News Detection: Literature Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The use of Deep Learning (DL) for identifying false or misleading information, known as fake news, is a growing area of research. Deep learning, a form of machine learning that … |
Mohammed Haqi Al-Tai; Bashar M. Nema; Ali Al-Sherbaz; | Al-Mustansiriyah Journal of Science | 2023-06-30 |
| 477 | Deep Learning Methods to Detect Image Falsification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The accessibility and advancement of digital image editing tools have enabled individuals to manipulate and create realistic images without a real basis, leading to novel forms of … |
Laimonas Janutėnas; Jurate Janutenaite-Bogdaniene; D. Šešok; | Applied Sciences | 2023-06-29 |
| 478 | Improving Fairness in Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While existing studies have focused on evaluating fairness of deepfake detectors, to the best of our knowledge, no method has been developed to encourage fairness in deepfake detection at the algorithm level. In this work, we make the first attempt to improve deepfake detection fairness by proposing novel loss functions that handle both the setting where demographic information (eg, annotations of race and gender) is available as well as the case where this information is absent. |
Yan Ju; Shu Hu; Shan Jia; George H. Chen; Siwei Lyu; | arxiv-cs.CV | 2023-06-28 |
| 479 | Frequency Domain Deepfake Detection Based on Two-stream Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Benefiting from the progress of deep learning driven generative models, face forgery technologies have rapidly become mature, thus raising public concerns about the illegal usage … |
Yijia Xu; Dong Dong Zhang; Chengyu Sun; | International Conference on Graphic and Image Processing | 2023-06-27 |
| 480 | Noise Based Deepfake Detection Via Multi-Head Relative-Interaction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we present a noise-based Deepfake detection model, NoiseDF for short, which focuses on the underlying forensic noise traces left behind the Deepfake videos. |
Tianyi Wang; Kam Pui Chow; | aaai | 2023-06-26 |
| 481 | Deepfake Video Detection Via Facial Action Dependencies Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate the deepfake video detection problem into a graph classification task, and propose a novel paradigm named Facial Action Dependencies Estimation (FADE) for deepfake video detection. |
LINGFENG TAN et. al. | aaai | 2023-06-26 |
| 482 | Deepfakes and Harm to Women Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As deepfake technologies become more sophisticated and accessible to the broader online community, their use puts women participating in digital spaces at increased risk of … |
Jennifer Laffier; Aalyia Rehman; | Journal of Digital Life and Learning | 2023-06-24 |
| 483 | In-The-Wild Deepfake Detection Using Adaptable CNN Models with Visual Class Activation Mapping for Improved Accuracy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology has become increasingly sophisticated in recent years, making detecting fake images and videos challenging. This paper investigates the performance of … |
M. Saealal; M. Z. Ibrahim; M. I. Shapiai; N. Fadilah; | 2023 5th International Conference on Computer Communication … | 2023-06-23 |
| 484 | Deepfake Detection Using CNN and DCGANS to Drop-Out Fake Multimedia Content: A Hybrid Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The creation of Deep Fakes, which are altered videos, audio, and photographs capable of disseminating false information and fake news and modifying sensitive records, is the … |
Kartik Bansal; Shubhi Agarwal; Narayan Vyas; | 2023 International Conference on IoT, Communication and … | 2023-06-23 |
| 485 | Learning Approaches Used By Different Applications to Achieve Deep Fake Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake technology is an emerging field that has gained considerable attention in recent years. Deepfakes are synthetic media, including images, videos, and audio recordings, … |
Ashish Maharjan; Asish Shakya; | Interdisciplinary Journal of Innovation in Nepalese Academia | 2023-06-22 |
| 486 | 3HAN: A Deep Neural Network for Fake News Detection IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We employ a deep learning based automated detector through a three level hierarchical attention network (3HAN) for fast, accurate detection of fake news. |
Sneha Singhania; Nigel Fernandez; Shrisha Rao; | arxiv-cs.LG | 2023-06-21 |
| 487 | A Robust Approach to Multimodal Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach for detecting deepfake video sequences by leveraging data multimodality. |
DAVIDE SALVI et. al. | Journal of imaging | 2023-06-19 |
| 488 | DeepReversion: Reversely Inferring The Original Face from The DeepFake Face Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfake techniques can generate realistic fake images and videos. Malicious fake facial images quickly spread through the Internet, posing a potential threat to personal privacy … |
Jiaxin Ai; Zhongyuan Wang; Baojin Huang; Zhen Han; | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 489 | Norms or Fun? The Influence of Ethical Concerns and Perceived Enjoyment on The Regulation of Deepfake Information IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: PurposeDeepfake information poses more ethical risks than traditional disinformation in terms of fraud, slander, rumors and other malicious uses. However, owing to its high … |
Minghui Li; Yan Wan; | Internet Res. | 2023-06-16 |
| 490 | Deepfake: An Endanger to Cyber Security Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: ‘Deepfake’ got originated from the technology ‘deep learning’ working behind it and the type of information it generates ‘fake’ after manipulating the original information. It’s … |
K. N. Sudhakar; M. Shanthi; | 2023 International Conference on Sustainable Computing and … | 2023-06-14 |
| 491 | NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: More seriously, the advanced Deepfake technology realizes the audio-visual calibration of the critical phoneme-viseme regions, achieving a more realistic tampering effect, which brings new challenges. To address this problem, we propose a novel Deepfake detection method to mine the correlation between Non-critical Phonemes and Visemes, termed NPVForensics. |
Yu Chen; Yang Yu; Rongrong Ni; Yao Zhao; Haoliang Li; | arxiv-cs.CV | 2023-06-12 |
| 492 | AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Existing cross-dataset deepfake detection approaches exploit mouth-related mismatches between the auditory and visual modalities in fake videos to enhance generalisation to unseen … |
Yizhe Zhu; Jialin Gao; Xiaoping Zhou; | Proceedings of the 2023 ACM International Conference on … | 2023-06-12 |
| 493 | Deepfake in The Metaverse: An Outlook Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the principles, applications, and risks of deepfake technology, and propose some countermeasures to help users and developers in the metaverse deal with the challenges brought by deepfake technologies. |
Haojie Wu; Pan Hui; Pengyuan Zhou; | arxiv-cs.HC | 2023-06-12 |
| 494 | SIGMA-DF: Single-Side Guided Meta-Learning for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The current challenge of Deepfake detection is the cross-domain performance on unseen Deepfake data. Instead of extracting forgery artifacts that are robust to the cross-domain … |
BING HAN et. al. | Proceedings of the 2023 ACM International Conference on … | 2023-06-12 |
| 495 | Autoencoder-based Data Augmentation for Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image generation has seen huge leaps in the last few years. Less than 10 years ago we could not generate accurate images using deep learning at all, and now it is almost … |
Dan-Cristian Stanciu; B. Ionescu; | Proceedings of the 2nd ACM International Workshop on … | 2023-06-12 |
| 496 | A Forensic Evaluation Method for DeepFake Detection Using DCNN-based Facial Similarity Scores Related Papers Related Patents Related Grants Related Venues Related Experts View |
Paulo Max Gil Innocencio Reis; Rafael Oliveira Ribeiro; | Forensic science international | 2023-06-03 |
| 497 | DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the first parameter-efficient tuning approach for deepfake detection, namely DeepFake-Adapter, to effectively and efficiently adapt the generalizable high-level semantics from large pre-trained ViTs to aid deepfake detection. |
Rui Shao; Tianxing Wu; Liqiang Nie; Ziwei Liu; | arxiv-cs.CV | 2023-06-01 |
| 498 | Detection of Deepfake Video Using Deep Learning and MesoNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fraudsters are increasingly using evidence tampering to evade criminal charges and the acquisition of personal data for identity-related offenses. Deepfake is one of the most … |
Lian Rebello; Linnet Tuscano; Yashvi Shah; Alvin Solomon; Varsha Shrivastava; | 2023 8th International Conference on Communication and … | 2023-06-01 |
| 499 | Multimodaltrace: Deepfake Detection Using Audiovisual Representation Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: By employing generative deep learning techniques, Deepfakes are created with the intent to create mistrust in society, manipulate public opinion and political decisions, and for … |
Muhammad Anas Raza; K. Malik; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 500 | Quick Overview of Face Swap Deep Fakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep Fake technology has developed rapidly in its generation and detection in recent years. Researchers in both fields are outpacing each other in their axes achievements. The … |
Tomasz Walczyna; Z. Piotrowski; | Applied Sciences | 2023-05-31 |
| 501 | Deep Fake Detection Through Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Abstract: Deep fake is a rapidly growing concern in society, and it has become a significant challenge to detect such manipulated media. Deep fake detection involves identifying … |
Y. Doke; | International Journal for Research in Applied Science and … | 2023-05-31 |
| 502 | Pseudo-Siamese Network Based Timbre-reserved Black-box Adversarial Attack in Speaker Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a timbre-reserved adversarial attack approach for speaker identification (SID) to not only exploit the weakness of the SID model but also preserve the timbre of the target speaker in a black-box attack setting. |
Qing Wang; Jixun Yao; Ziqian Wang; Pengcheng Guo; Lei Xie; | arxiv-cs.SD | 2023-05-30 |
| 503 | Research on Deepfake Technology and Its Application Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, with the continuous development of artificial intelligence technology, the application of deep counterfeiting technology has become a new trend of social … |
Jiang Bu; Ri-Lie Jiang; Bin Zheng; | Proceedings of the 2023 4th International Conference on … | 2023-05-26 |
| 504 | Betray Oneself: A Novel Audio DeepFake Detection Model Via Mono-to-Stereo Conversion Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Audio Deepfake Detection (ADD) aims to detect the fake audio generated by text-to-speech (TTS), voice conversion (VC) and replay, etc., which is an emerging topic. Traditionally … |
Rui Liu; Jinhua Zhang; Guanglai Gao; Haizhou Li; | ArXiv | 2023-05-25 |
| 505 | The Deepfake Technology: Threats or Opportunities for Customs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of science and technology contributes to the expansion of opportunities for using new ways in various fields of activity — such as remote work, cloud computing, … |
A. Getman; Yilan Ling; | Administrative Consulting | 2023-05-25 |
| 506 | Swarm Optimized Fake News Detection on Social-media Textual Content Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this fast-growing era of technology and social media, the fake news is significant predicament in the real- world settings. Fake news prevention and prediction is a challenging … |
Arunima Jaiswal; Himika Verma; Nitin Sachdeva; | 2023 International Conference on Advances in Computing, … | 2023-05-25 |
| 507 | A Comprehensive Taxonomy on Multimedia Video Forgery Detection Techniques: Challenges and Novel Trends IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Thousands of videos are posted on websites and social media every day, including Twitter, Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications, … |
Walid El-Shafai; Mona A Fouda; El-Sayed M El-Rabaie; Nariman Abd El-Salam; | Multimedia tools and applications | 2023-05-24 |
| 508 | A DeepFake Compressed Video Detection Method Based on Dense Dynamic CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emergence of DeepFake poses serious risks to data privacy and social stability. We propose an end-to-end DeepFake video detection method based on a dense dynamic convolutional … |
Xiuqing Mao; Lei Sun; Hongmeng Zhang; Shuai Zhang; | Conference on Computer Graphics, Artificial Intelligence, … | 2023-05-23 |
| 509 | ADD 2023: The Second Audio Deepfake Detection Challenge IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the datasets, evaluation metrics, and protocols. |
JIANGYAN YI et. al. | arxiv-cs.SD | 2023-05-23 |
| 510 | Towards Generalizing Deep-audio Fake Detection Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Building on top of the discovered frequency footprints, we train excellent lightweight detectors that generalize. |
Konstantin Gasenzer; Moritz Wolter; | arxiv-cs.SD | 2023-05-22 |
| 511 | Deep Fake Detection Using Deep Learning Techniques: A Literature Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning is a sophisticated and adaptable technique that has found widespread use in fields such as natural language processing, machine learning, and computer vision. It is … |
A. Mary; A. Edison; | 2023 International Conference on Control, Communication and … | 2023-05-19 |
| 512 | Deep Learning Technique for Recognition of Deep Fake Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: New computing methods and digital content have been created thanks to recent advancements in digital media technology. They have also contributed to advancing recent AI-based … |
Fahad Mira; | 2023 IEEE IAS Global Conference on Emerging Technologies … | 2023-05-19 |
| 513 | Detecting and Grounding Multi-Modal Media Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we highlight a new research problem for multi-modal fake media, namely Detecting and Grounding Multi-Modal Media Manipulation (DGM^4). |
Rui Shao; Tianxing Wu; Ziwei Liu; | cvpr | 2023-05-17 |
| 514 | Evading DeepFake Detectors Via Adversarial Statistical Consistency IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to explicitly minimize the statistical differences to evade state-of-the-art DeepFake detectors. |
YANG HOU et. al. | cvpr | 2023-05-17 |
| 515 | Implicit Identity Driven Deepfake Face Swapping Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider the face swapping detection from the perspective of face identity. |
BAOJIN HUANG et. al. | cvpr | 2023-05-17 |
| 516 | Using Deepfake Technologies for Word Emphasis Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we consider the task of automated emphasis detection for spoken language. |
Eran Kaufman; Lee-Ad Gottlieb; | arxiv-cs.LG | 2023-05-12 |
| 517 | Undercover Deepfakes: Detecting Fake Segments in Videos Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paradigm has been under-explored by the current deepfake detection methods in the academic literature. In this paper, we present a deepfake detection method that can address this issue by performing deepfake prediction at the frame and video levels. |
SANJAY SAHA et. al. | arxiv-cs.CV | 2023-05-11 |
| 518 | SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although many countermeasures have been developed to detect Deepfakes ex-post, undoubtedly, passive forensics has not considered any preventive measures for the pristine face before foreseeable manipulations. To complete this forensics ecosystem, we thus put forward the proactive solution dubbed SepMark, which provides a unified framework for source tracing and Deepfake detection. |
Xiaoshuai Wu; Xin Liao; Bo Ou; | arxiv-cs.CV | 2023-05-10 |
| 519 | Mover: Mask and Recovery Based Facial Part Consistency Aware Method for Deepfake Video Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the limitation, we propose Mover, a new Deepfake detection model that exploits unspecific facial part inconsistencies, which are inevitable weaknesses of Deepfake videos. |
JUAN HU et. al. | arxiv-cs.MM | 2023-05-10 |
| 520 | Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to the rising threat of deepfakes to security and privacy, it is most important to develop robust and reliable detectors. In this paper, we examine the need for high-quality samples in the training datasets of such detectors. |
Arian Beckmann; Anna Hilsmann; Peter Eisert; | arxiv-cs.CV | 2023-05-09 |
| 521 | Deep Fake Detection and Classification Using Error-level Analysis and Deep Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an automated method to classify deep fake images by employing Deep Learning and Machine Learning based methodologies. |
RIMSHA RAFIQUE et. al. | Scientific reports | 2023-05-08 |
| 522 | First Six Months of War from Ukrainian Topic and Sentiment Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Through technological advancements as well as due to societal trends and developments, social media became an active part and a catalysator of the ongoing conflicts and wars … |
Clara Maathuis; Iddo Kerkhof; | European Conference on Social Media | 2023-05-05 |
| 523 | Deepfake Creation Using Gans and Autoencoder and Deepfake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning techniques is useful in a myriad of applications such as computer vision processing, natural language processing, as well as deepfake detection. The development of … |
M. Das; Manav Kumar; Ishank Kumar Kapil; R. Yadav; | 2023 2nd International Conference on Vision Towards … | 2023-05-05 |
| 524 | Glitch in The Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, a sophisticated deepfake may include small segments of audio or audio-visual manipulations that can completely change the meaning of the video content. To addresses this gap, we propose and benchmark a new dataset, Localized Audio Visual DeepFake (LAV-DF), consisting of strategic content-driven audio, visual and audio-visual manipulations. |
ZHIXI CAI et. al. | arxiv-cs.CV | 2023-05-03 |
| 525 | Glitch in The Matrix!: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most deepfake detection methods focus on detecting spatial and/or spatio-temporal changes in facial attributes and are centered around the binary classification task of detecting … |
ZHIXI CAI et. al. | Comput. Vis. Image Underst. | 2023-05-03 |
| 526 | Evaluating Trustworthiness and Racial Bias in Face Recognition APIs Using Deepfakes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We evaluate the racial bias in face recognition application programming interfaces (APIs) using real and deepfake celebrity images. We use deepfake generation methods to introduce … |
Shahroz Tariq; Sowon Jeon; Simon S. Woo; | Computer | 2023-05-01 |
| 527 | Deep Fake Image Classification Using VGG-19 Model Related Papers Related Patents Related Grants Related Venues Related Experts View |
Chandra Bhushana Rao Killi; Narayanan Balakrishnan; Chinta Someswara Rao; | Ingénierie des systèmes d information | 2023-04-30 |
| 528 | Data Augmentation for Convolutional Neural Network DeepFake Image Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We need to develop a technique for better identifying deepfakes because they can distort our perception of reality. This study offers a brand-new forensic technique for spotting … |
Ameni Jellali; I. Fredj; K. Ouni; | 2023 IEEE International Conference on Advanced Systems and … | 2023-04-29 |
| 529 | An Approach of Fake Videos Detection Based on Haar Cascades and Convolutional Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Because deep fakes might skew our impression of the truth, we need to come up with a method for better spotting them. This paper proposes a new forensic technique to detect … |
Ameni Jellali; Ines Ben Fredj; K. Ouni; | 2023 IEEE International Conference on Advanced Systems and … | 2023-04-29 |
| 530 | On The Generalization of Deep Learning Models in Video Deepfake Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The increasing use of deep learning techniques to manipulate images and videos, commonly referred to as deepfakes, is making it more challenging to differentiate between real … |
Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; | Journal of imaging | 2023-04-29 |
| 531 | Transferring Audio Deepfake Detection Capability Across Languages IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper conducts the first comprehensive study on the cross-lingual perspective of deepfake detection. |
ZHONGJIE BA et. al. | www | 2023-04-29 |
| 532 | Can Deepfakes Be Created on A Whim? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancements in machine learning and computer vision have led to the proliferation of Deepfakes. As technology democratizes over time, there is an increasing fear that … |
PULAK MEHTA et. al. | Companion Proceedings of the ACM Web Conference 2023 | 2023-04-28 |
| 533 | UCF: Uncovering Common Features for Generalizable Deepfake Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a novel approach to address the two types of overfitting issues by uncovering common forgery features. |
Zhiyuan Yan; Yong Zhang; Yanbo Fan; Baoyuan Wu; | arxiv-cs.CV | 2023-04-27 |
| 534 | UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel framework for unsupervised type-agnostic deepfake detection called UNTAG. |
N. Mejri; E. Ghorbel; D. Aouada; | icassp | 2023-04-27 |
| 535 | BTS-E: Audio Deepfake Detection Using Breathing-Talking-Silence Encoder IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code |