On Norm-Agnostic Robustness of Adversarial Training

15 May 2019Bai LiChangyou ChenWenlin WangLawrence Carin

Adversarial examples are carefully perturbed in-puts for fooling machine learning models. A well-acknowledged defense method against such examples is adversarial training, where adversarial examples are injected into training data to increase robustness... (read more)

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