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Abstract: Deep neural networks (DNNs) are sensitive to adversarial examples which are generated by corrupting benign examples with imperceptible perturbations, or have significant changes but can ...

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Abstract: Adversarial transferability is a significant property of adversarial examples, which renders the adversarial example capable of attacking unknown models. However, the models with different ...