A compositional framework for automated discovery of adversarial attacks

The vulnerability of deep neural networks to adversarial attacks is a critical barrier to their safe deployment. However, the evaluation of model robustness still relies on a limited set of manually-designed, monolithic attacks, potentially leaving vast regions of the algorithmic search space unexpl…

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