921 citations · 1.4k across the 54 of their papers we have counts for
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Towards Robust Dataset Learning
Yihan Wu, Xinda Li, Florian Kerschbaum +2
Adversarial training has been actively studied in recent computer vision research to improve the robustness of models. However, due to the huge computational cost of generating adv…
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
Fangcheng Liu, Chao Zhang, Hongyang Zhang
Transfer-based adversarial example is one of the most important classes of black-box attacks. However, there is a trade-off between transferability and imperceptibility of the adve…
Unrestricted Adversarial Attacks on ImageNet Competition
Yuefeng Chen, Xiaofeng Mao, Yuan He +34
Many works have investigated the adversarial attacks or defenses under the settings where a bounded and imperceptible perturbation can be added to the input. However in the real-wo…
Design and Interpretation of Universal Adversarial Patches in Face Detection
Xiao Yang, Fangyun Wei, Hongyang Zhang +1
We consider universal adversarial patches for faces -- small visual elements whose addition to a face image reliably destroys the performance of face detectors. Unlike previous wor…