Semantics Preserving Adversarial Attacks

ICLR 2020 Anonymous

While progress has been made in crafting visually imperceptible adversarial examples, constructing semantically meaningful ones remains a challenge. In this paper, we propose a framework to generate semantics preserving adversarial examples... (read more)

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