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Xuanhui Zhong

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Improving Adversarial Transferability with Local Perturbation Augmentation

This paper reveals that the iterative optimization process tends to over-specialize adversarial perturbations to the local gradient characteristics of the surrogate model, thereby hindering their transferability to other models, and proposes a novel attack method called Local Perturbation Augmentation Attack.

Jian-Xun Mi, Xuanhui Zhong, Weisheng Li · 0 citations

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