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PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch. (arXiv:2207.01795v2 [cs.CV] UPDATED)
July 14, 2022, 1:20 a.m. | Ke Xu, Yao Xiao, Zhaoheng Zheng, Kaijie Cai, Ram Nevatia
cs.CR updates on arXiv.org arxiv.org
Adversarial patch attacks mislead neural networks by injecting adversarial
pixels within a local region. Patch attacks can be highly effective in a
variety of tasks and physically realizable via attachment (e.g. a sticker) to
the real-world objects. Despite the diversity in attack patterns, adversarial
patches tend to be highly textured and different in appearance from natural
images. We exploit this property and present PatchZero, a general defense
pipeline against white-box adversarial patches without retraining the
downstream classifier or detector. Specifically, …
More from arxiv.org / cs.CR updates on arXiv.org
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