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DeSMP: Differential Privacy-exploited Stealthy Model Poison..:
, In:
2021 17th International Conference on Mobility, Sensing and Networking (MSN)
,
Hossain, Md Tamjid
;
Islam, Shafkat
;
Badsha, Shahriar
. - p. 167-174 , 2021
Link:
https://doi.org/10.1109/MSN53354.2021.00038
RT T1 <cTitle>2021 17th International Conference on Mobility, Sensing and Networking (MSN)</cTitle>: T1 <Title>DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9751538&Exemplar=1&LAN=DE A1 Hossain, Md Tamjid A1 Islam, Shafkat A1 Badsha, Shahriar A1 Shen, Haoting YR 2021 K1 Privacy K1 Computational modeling K1 Focusing K1 Reinforcement learning K1 Collaborative work K1 Data models K1 Adversarial machine learning K1 Security K1 Differential Privacy (DP) K1 Federated Learning (FL) K1 Reinforcement Learning (RL) SP 167 OP 174 LK http://dx.doi.org/https://doi.org/10.1109/MSN53354.2021.00038 DO https://doi.org/10.1109/MSN53354.2021.00038 SF ELIB - SuUB Bremen
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