Design and Interpretation of Universal Adversarial Patches in Face Detection

30 Nov 2019Xiao YangFangyun WeiHongyang ZhangXiang MingJun Zhu

We consider universal adversarial patches for faces - small visual elements whose addition to a face image reliably destroys the performance of face detectors. Unlike previous work that mostly focused on the algorithmic design of adversarial examples in terms of improving the success rate as an attacker, in this work we show an interpretation of such patches that can prevent the state-of-the-art face detectors from detecting the real faces... (read more)

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