Unrestricted Adversarial Examples

22 Sep 2018Tom B. BrownNicholas CarliniChiyuan ZhangCatherine OlssonPaul ChristianoIan Goodfellow

We introduce a two-player contest for evaluating the safety and robustness of machine learning systems, with a large prize pool. Unlike most prior work in ML robustness, which studies norm-constrained adversaries, we shift our focus to unconstrained adversaries... (read more)

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