Adversarial Robustness, White-box, Adversarial Attack
“Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack”Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan SongCVPR 2022 Code, model weights, and datasets have been released. We will continue to optimize the code.paper will be released soon. A practical evaluation method should be convenient (i.e., parameter-free), efficient (i.e., fewer iterations) and reliable (i.e., approaching the lower bound of robustness). Towards this target, we propose a parameter-free Adaptive Auto Attack (A3) evaluation method. We apply A3 to over […]
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