Understanding Distributed Poisoning Attack in Federated Learning

Federated learning is inherently vulnerable to poisoning attacks, since no training samples will be released to and checked by trustworthy authority. Poisoning attacks are widely investigated in centralized learning paradigm, however distributed poisoning attacks, in which more than one attacker col...

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Vydané v:	2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS) s. 233 - 239
Hlavní autori:	Cao, Di, Chang, Shan, Lin, Zhijian, Liu, Guohua, Sun, Donghong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2019
Predmet:	attack success rate defense distributed poisoning attack federated learning label-flipping
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