Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective
Transferable adversarial attacks against Deep neural networks (DNNs) have received broad attention in recent years. An adversarial example can be crafted by a surrogate model and then attack the unknown target model successfully, which brings a severe threat to DNNs. The exact underlying reasons for...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 04., Seite 6487-6501
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| 1. Verfasser: |
Zhu, Yao
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Yuefeng,
Li, Xiaodan,
Chen, Kejiang,
He, Yuan,
Tian, Xiang,
Zheng, Bolun,
Chen, Yaowu,
Huang, Qingming |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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