TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization
In: IEEE/CVF International Conference on Computer Vision (ICCV); (2023-10-01) S. 4739-4748
Konferenz
Zugriff:
Titel: |
TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization
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Autor/in / Beteiligte Person: | Liu, Yiran ; Feng, Xin ; Wang, Yunlong ; Yang, Wu ; Ming, Di |
Quelle: | IEEE/CVF International Conference on Computer Vision (ICCV); (2023-10-01) S. 4739-4748 |
Veröffentlichung: | 2023 |
Medientyp: | Konferenz |
ISBN: | 979-8-3503-0718-4 (print) |
ISSN: | 2380-7504 (print) |
DOI: | 10.1109/ICCV51070.2023.00439 |
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