Towards Transferable Adversarial Attacks on Image and Video Transformers
The transferability of adversarial examples across different convolutional neural networks (CNNs) makes it feasible to perform black-box attacks, resulting in security threats for CNNs. However, fewer endeavors have been made to investigate transferable attacks for vision transformers (ViTs), which...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 15., Seite 6346-6358
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| 1. Verfasser: |
Wei, Zhipeng
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Jingjing,
Goldblum, Micah,
Wu, Zuxuan,
Goldstein, Tom,
Jiang, Yu-Gang,
Davis, Larry S |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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