BriefGPT.xyz
Jun, 2020
走向一个对抗鲁棒性标准化方法
Towards an Adversarially Robust Normalization Approach
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Muhammad Awais, Fahad Shamshad, Sung-Ho Bae
TL;DR
本研究证明BatchNorm在对抗攻击下表现脆弱的原因和提出了新的对抗攻击下稳健的正则化方法RobustNorm。实验证明使用RobustNorm的深度神经网络在对抗环境下表现更好。
Abstract
batch normalization
(BatchNorm) is effective for improving the performance and accelerating the training of
deep neural networks
. However, it has also shown to be a cause of
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