Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective

Neural Information Processing Systems 

We propose a probabilistic perspective on adversarial examples, allowing us to embed subjective understanding of semantics as a distribution into the process of generating adversarial examples, in a principled manner.

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