Mitigating Adversarial Effects Through Randomization

ICLR 2018 Cihang XieJianyu WangZhishuai ZhangZhou RenAlan Yuille

Convolutional neural networks have demonstrated high accuracy on various tasks in recent years. However, they are extremely vulnerable to adversarial examples... (read more)

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