Adversarial Training Can Hurt Generalization

14 Jun 2019Aditi RaghunathanSang Michael XieFanny YangJohn C. DuchiPercy Liang

While adversarial training can improve robust accuracy (against an adversary), it sometimes hurts standard accuracy (when there is no adversary). Previous work has studied this tradeoff between standard and robust accuracy, but only in the setting where no predictor performs well on both objectives in the infinite data limit... (read more)

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