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RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack

RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack

11 January 2022
Yongkang Wang
Dihua Zhai
Yufeng Zhan
Yuanqing Xia
    FedML
    AAML
ArXivPDFHTML

Papers citing "RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack"

3 / 3 papers shown
Title
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
Ye Li
Yanchao Zhao
Chengcheng Zhu
Jiale Zhang
AAML
36
0
0
29 Sep 2024
FLEDGE: Ledger-based Federated Learning Resilient to Inference and
  Backdoor Attacks
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Jorge Castillo
Phillip Rieger
Hossein Fereidooni
Qian Chen
Ahmad Sadeghi
FedML
AAML
41
8
0
03 Oct 2023
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,034
0
29 Nov 2018
1