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Most Influential ICML 2018 Paper · 2026-03 edition

Obfuscated Gradients Give A False Sense of Security: Circumventing Defenses to Adversarial Examples

Anish Athalye; Nicholas Carlini; David Wagner

Venue
International Conference on Machine Learning (ICML) 2018
Recognition
Most Influential ICML 2018 Paper (Rank No. 3)
Edition
2026-03
Impact factor
9
Certificate ID
0fafbe32e19f34aa

Abstract

We identify obfuscated gradients, a kind of gradient masking, as a phenomenon that leads to a false sense of security in defenses against adversarial examples. While defenses that cause obfuscated gradients appear to defeat iterative optimization-based attacks, we find defenses relying on this effect can be circumvented. We describe characteristic behaviors of defenses exhibiting the effect, and for each of the three types of obfuscated gradients we discover, we develop attack techniques to overcome it. In a case study, examining non-certified white-box-secure defenses at ICLR 2018, we find obfuscated gradients are a common occurrence, with 7 of 9 defenses relying on obfuscated gradients. Our new attacks successfully circumvent 6 completely, and 1 partially, in the original threat model each paper considers.

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