Identifying and Resisting Adversarial Videos Using Temporal Consistency

11 Sep 2019Xiaojun JiaXingxing WeiXiaochun Cao

Video classification is a challenging task in computer vision. Although Deep Neural Networks (DNNs) have achieved excellent performance in video classification, recent research shows adding imperceptible perturbations to clean videos can make the well-trained models output wrong labels with high confidence... (read more)

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