Fast Adversarial Training With Adaptive Step Size
While adversarial training and its variants have shown to be the most effective algorithms to defend against adversarial attacks, their extremely slow training process makes it hard to scale to large datasets like ImageNet. The key idea of recent works to accelerate adversarial training is to substi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 26., Seite 6102-6114
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| 1. Verfasser: |
Huang, Zhichao
(VerfasserIn) |
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| Weitere Verfasser: |
Fan, Yanbo,
Liu, Chen,
Zhang, Weizhong,
Zhang, Yong,
Salzmann, Mathieu,
Susstrunk, Sabine,
Wang, Jue |
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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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