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1 Ergebnisse
1
Improving the Transferability of Adversarial Examples with ..:
, In:
2023 International Joint Conference on Neural Networks (IJCNN)
,
Cao, Yangjie
;
Wang, Haobo
;
Zhu, Chenxi
... - p. 1-9 , 2023
Link:
https://doi.org/10.1109/IJCNN54540.2023.10191889
RT T1
2023 International Joint Conference on Neural Networks (IJCNN)
: T1
Improving the Transferability of Adversarial Examples with Diverse Gradients
UL https://suche.suub.uni-bremen.de/peid=ieee-10191889&Exemplar=1&LAN=DE A1 Cao, Yangjie A1 Wang, Haobo A1 Zhu, Chenxi A1 Zhuang, Yan A1 Li, Jie A1 Chen, Xianfu YR 2023 SN 2161-4407 K1 Training K1 Gradient methods K1 Costs K1 Perturbation methods K1 Neural networks K1 Closed box K1 Boosting K1 Adversarial examples K1 Gradient diversity K1 Black-box attack K1 Transferability SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN54540.2023.10191889 DO https://doi.org/10.1109/IJCNN54540.2023.10191889 SF ELIB - SuUB Bremen
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