2024 Patchattack

Patchattack

Author: sorv

August undefined, 2024

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PatchAttack: A Black-box Texture-based Attack with …

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Patchattack

WebPatchAttack: A Black-box Texture-based Attack with Reinforcement Learning Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille Johns Hopkins University [PDF] … PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. This is the code used in the paper PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. If you use the code or find this project helpful, please consider citing our paper. See more The part of Grad_CAM in this code is based on pytorch-grad-cam. A helper function comes from pytorch-classification. See more

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Web27 Dec 2024 · We present a method to create universal, robust, targeted adversarial image patches in the real world. The patches are universal because they can be used to attack … Web12 Apr 2024 · PatchAttack optimizes the position and texture parameters of each patch using reinforcement learning. Our experiments show that PatchAttack achieves > 99% …

WebPatchAttack optimizes the position and texture parameters of each patch using reinforcement learning. Our experiments show that PatchAttack achieves > 99% success …

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