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Model Poisoning Attacks to Federated Learning via Multi-Round
  Consistency

Model Poisoning Attacks to Federated Learning via Multi-Round Consistency

24 April 2024
Yueqi Xie
Minghong Fang
Neil Zhenqiang Gong
    AAML
ArXivPDFHTML

Papers citing "Model Poisoning Attacks to Federated Learning via Multi-Round Consistency"

6 / 6 papers shown
Title
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Minghong Fang
Seyedsina Nabavirazavi
Zhuqing Liu
Wei Sun
S. Iyengar
Haibo Yang
AAML
OOD
76
6
0
29 Jan 2025
Emerging Safety Attack and Defense in Federated Instruction Tuning of
  Large Language Models
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Rui Ye
Jingyi Chai
Xiangrui Liu
Yaodong Yang
Yanfeng Wang
Siheng Chen
AAML
43
8
0
15 Jun 2024
WW-FL: Secure and Private Large-Scale Federated Learning
WW-FL: Secure and Private Large-Scale Federated Learning
F. Marx
T. Schneider
Ajith Suresh
Tobias Wehrle
Christian Weinert
Hossein Yalame
FedML
14
2
0
20 Feb 2023
FLCert: Provably Secure Federated Learning against Poisoning Attacks
FLCert: Provably Secure Federated Learning against Poisoning Attacks
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedML
OOD
71
59
0
02 Oct 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
106
611
0
27 Dec 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,703
0
18 Mar 2020
1