ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack

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Abstract:

Deep neural networks are vulnerable to noise-based adversarial examples, which can mislead the networks by adding random-like noise. However, such examples are hardly found in the real world and easily perceived when thumping noises are used to keep their high transferability across different models. In this paper, we identify a new att...More

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