Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective

Abstract:We propose a probabilistic perspective on . This perspective allows us to view geometric restrictions on as distributions, enabling a seamless shift towards -driven, semantic . on this , we present a method for creating semantics- adversarial examples in a principle way. Leveraging the generalization of contemporary probabilistic generative models, our method produces adversarial

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