Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors

28 Feb 2019Ke SunZhanxing ZhuZhouchen Lin

Most previous works usually explained adversarial examples from several specific perspectives, lacking relatively integral comprehension about this problem. In this paper, we present a systematic study on adversarial examples from three aspects: the amount of training data, task-dependent and model-specific factors... (read more)

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