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1 Ergebnisse
1
Minimizing Maximum Model Discrepancy for Transferable Black..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Zhao, Anqi
;
Chu, Tong
;
Liu, Yahao
... - p. 8153-8162 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.00788
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10205119&Exemplar=1&LAN=DE A1 Zhao, Anqi A1 Chu, Tong A1 Liu, Yahao A1 Li, Wen A1 Li, Jingjing A1 Duan, Lixin YR 2023 SN 2575-7075 K1 Training K1 Analytical models K1 Computer vision K1 Codes K1 Computational modeling K1 Closed box K1 Artificial neural networks K1 Adversarial attack and defense SP 8153 OP 8162 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.00788 DO https://doi.org/10.1109/CVPR52729.2023.00788 SF ELIB - SuUB Bremen
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