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1 Ergebnisse
1
Private, Efficient, and Accurate: Protecting Models Trained..:
, In:
2023 IEEE Symposium on Security and Privacy (SP)
,
Ruan, Wenqiang
;
Xu, Mingxin
;
Fang, Wenjing
... - p. 1926-1943 , 2023
Link:
https://doi.org/10.1109/SP46215.2023.10179422
RT T1
2023 IEEE Symposium on Security and Privacy (SP)
: T1
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy
UL https://suche.suub.uni-bremen.de/peid=ieee-10179422&Exemplar=1&LAN=DE A1 Ruan, Wenqiang A1 Xu, Mingxin A1 Fang, Wenjing A1 Wang, Li A1 Wang, Lei A1 Han, Weili YR 2023 SN 2375-1207 K1 Multiprotocol label switching K1 Training K1 Differential privacy K1 Privacy K1 Computational modeling K1 Optimization methods K1 Stochastic processes K1 Secure Multi-party Computation K1 Multi-Party Learning K1 Differential Privacy K1 Privacy Computing SP 1926 OP 1943 LK http://dx.doi.org/https://doi.org/10.1109/SP46215.2023.10179422 DO https://doi.org/10.1109/SP46215.2023.10179422 SF ELIB - SuUB Bremen
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