BriefGPT.xyz
Dec, 2018
提高对抗鲁棒性的特征去噪
Feature Denoising for Improving Adversarial Robustness
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Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He
TL;DR
本研究旨在通过特征去噪的方式提高卷积神经网络在对抗攻击下的鲁棒性,实验结果表明这种方法对提高白盒和黑盒攻击下的分类准确率具有一定效果。
Abstract
adversarial attacks
to
image classification
systems present challenges to
convolutional networks
and opportunities for understanding them.
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