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Hongge Chen*

1 accepted papers

2019

The Limitations of Adversarial Training and the Blind-Spot Attack

ICLR 2019poster

The adversarial training procedure proposed by Madry et al. (2018) is one of the most effective methods to defend against adversarial examples in deep neural net- works (DNNs). In our paper, we shed some lights on the practicality and the hardness of adversarial training by showing that the effectiv…

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