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1 Ergebnisse
1
Quantifying and Defending against Privacy Threats on Federa..:
, In:
Proceedings of the ACM Web Conference 2023
,
Hu, Yuke
;
Liang, Wei
;
Wu, Ruofan
... - p. 2306-2317 , 2023
Link:
https://dl.acm.org/doi/10.1145/3543507.3583450
RT T1 <cTitle>Proceedings of the ACM Web Conference 2023</cTitle>: T1 <Title>Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3583450&Exemplar=1&LAN=DE A1 Hu, Yuke A1 Liang, Wei A1 Wu, Ruofan A1 Xiao, Kai A1 Wang, Weiqiang A1 Li, Xiaochen A1 Liu, Jinfei A1 Qin, Zhan PB ACM YR 2023 K1 Differential Privacy K1 Federated Learning K1 Knowledge Graph Embedding K1 Membership Inference Attack K1 Security and privacy K1 Human and societal aspects of security and privacy K1 Privacy protections SP 2306 OP 2317 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3543507.3583450 DO https://dl.acm.org/doi/10.1145/3543507.3583450 SF ELIB - SuUB Bremen
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