Detection Defense Against Adversarial Attacks with Saliency Map

6 Sep 2020Dengpan YeChuanxi ChenChangrui LiuHao WangShunzhi Jiang

It is well established that neural networks are vulnerable to adversarial examples, which are almost imperceptible on human vision and can cause the deep models misbehave. Such phenomenon may lead to severely inestimable consequences in the safety and security critical applications... (read more)

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