Enhancing adversarial transferability with local transformation

Abstract Robust deep learning models have demonstrated significant applicability in real-world scenarios. The utilization of adversarial attacks plays a crucial role in assessing the robustness of these models. Among such attacks, transfer-based attacks, which leverage white-box models to generate a...

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Autors principals:	Yang Zhang, Jinbang Hong, Qing Bai, Haifeng Liang, Peican Zhu, Qun Song
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2024-11-01
Col·lecció:	Complex & Intelligent Systems
Matèries:	Deep neural networks Adversarial examples Transferable attack Adversarial transferability
Accés en línia:	https://doi.org/10.1007/s40747-024-01628-4
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