Boosting Adversarial Transferability With Learnable Patch-Wise Masks

Adversarial examples have attracted widespread attention in security-critical applications because of their transferability across different models. Although many methods have been proposed to boost adversarial transferability, a gap still exists between capabilities and practical demand. In this ar...

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Vydané v:	IEEE transactions on multimedia Ročník 26; s. 3778 - 3787
Hlavní autori:	Wei, Xingxing, Zhao, Shiji
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptation models Adversarial Attack Adversarial Transferability DNNs Evolutionary algorithms Iterative methods Masks Perturbation methods Predictive models Statistics Training Visualization
ISSN:	1520-9210, 1941-0077
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