Web: http://arxiv.org/abs/1812.10085

Jan. 27, 2022, 2:10 a.m. | Li Chen, Qi Li, Weiye Chen, Zeyu Wang, Haifeng Li

cs.CV updates on arXiv.org arxiv.org

Adversarial examples pose many security threats to convolutional neural
networks (CNNs). Most defense algorithms prevent these threats by finding
differences between the original images and adversarial examples. However, the
found differences do not contain features about the classes, so these defense
algorithms can only detect adversarial examples without recovering the correct
labels. In this regard, we propose the Adversarial Feature Genome (AFG), a
novel type of data that contains both the differences and features about
classes. This method is inspired …

arxiv cv data data-driven framework genome

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