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...

Full description

Bibliographic Details

Published in:	2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS) pp. 233 - 239
Main Authors:	Cao, Di, Chang, Shan, Lin, Zhijian, Liu, Guohua, Sun, Donghong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2019
Subjects:	attack success rate defense distributed poisoning attack federated learning label-flipping
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!