BriefGPT.xyz
Feb, 2023
对抗鲁棒性的随机化:善、恶与丑
Randomization for adversarial robustness: the Good, the Bad and the Ugly
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Lucas Gnecco-Heredia, Yann Chevaleyre, Benjamin Negrevergne, Laurent Meunier
TL;DR
本研究探讨了深度神经网络面临的对抗攻击问题,提出了随机分类器作为确定性分类器的强大替代品,并且通过实验证明,集成分类器比混合分类器更具抗干扰性。
Abstract
Deep
neural networks
are known to be vulnerable to
adversarial attacks
: A small perturbation that is imperceptible to a human can easily make a well-trained deep neural network misclassify. To defend against
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