Abstract: The transferability of adversarial examples poses a critical security threat to deep neural networks, since the adversarial examples crafted for one model can deceive other models, even ...

Abstract: Data augmentation plays a critical role in self-supervised learning, including anomaly detection. While hand-crafted transformations such as image rotations can achieve impressive ...

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