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...
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Détails bibliographiques
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 01., Seite 6346-6358
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Auteur principal: |
Wei, Zhipeng
(Auteur) |
Autres auteurs: |
Chen, Jingjing,
Goldblum, Micah,
Wu, Zuxuan,
Goldstein, Tom,
Jiang, Yu-Gang,
Davis, Larry S |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2023
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Sujets: | Journal Article |