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Backdoor Defense in Federated Learning Using Differential Testing and
  Outlier Detection

Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection

21 February 2022
Y. Kim
Huili Chen
F. Koushanfar
    FedML
    AAML
ArXivPDFHTML

Papers citing "Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection"

3 / 3 papers shown
Title
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
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P
  Network
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network
Andrew Gold
J. Pouwelse
44
3
0
29 Jan 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
1,033
0
29 Nov 2018
1