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Mar, 2022
基于神经元归因的攻击提升对抗迁移性能
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
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Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang...
TL;DR
文章提出了一种利用神经元归因进行特征级别攻击的方法,该方法可以更准确地计算神经元重要性,以提高对现有算法的性能。实验证明,该方法优于现有算法。
Abstract
deep neural networks
(DNNs) are known to be vulnerable to
adversarial examples
. It is thus imperative to devise effective attack algorithms to identify the deficiencies of DNNs beforehand in security-sensitive ap
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