Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training

ICML 2018 Xi WuUyeong JangJiefeng ChenLingjiao ChenSomesh Jha

In this paper we study leveraging confidence information induced by adversarial training to reinforce adversarial robustness of a given adversarially trained model. A natural measure of confidence is $\|F({\bf x})\|_\infty$ (i.e. how confident $F$ is about its prediction?)... (read more)

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