Feb 23, 2021 · We evaluated our approach on 24 adversarial defenses and show that it outperforms AutoAttack, the current state-of-the-art tool for reliable evaluation of ...
In this paper, an approach to improve the evaluation of adversarial defenses by automatically finding adaptive adversarial attacks is proposed and evaluated.
Reliable evaluation of adversarial defenses is a challenging task, currently limited to an expert who manually crafts attacks that exploit the defenses ...
Adaptive attacks are composed of reusable building blocks that can be formalized in a search space and used to automatically discover attacks for unknown ...
This work shows that adaptive attacks are composed of reusable building blocks that can be formalized in a search space and used to automatically discover ...
Nov 9, 2021 · The paper advances state-of-the-art automated pen-testing tools for breaking defenses designed to protect deep neural networks against norm- ...
Jul 14, 2021 · Our key observation is that custom attacks are composed from a set of reusable building blocks, such as fine-tuning relevant attack parameters, ...
Oct 27, 2021 · In this paper, an approach to improve the evaluation of adversarial defenses by automatically finding adaptive adversarial attacks is proposed ...
Adversarial defenses are proposed to address the problem of adversarial examples. However, the authors of many defenses provide over-estimated robustness ...
Efficient and effective attacks are crucial for reliable evaluation of defenses, and also for developing robust models. Adversarial attacks are often generated ...