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A Novel Defense Against Poisoning Attacks on Federated Learning:
  LayerCAM Augmented with Autoencoder

A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder

2 June 2024
Jingjing Zheng
Xin Yuan
Kai Li
Wei Ni
Eduardo Tovar
Jon Crowcroft
    FedML
    AAML
ArXivPDFHTML

Papers citing "A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder"

4 / 4 papers shown
Title
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
77
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
117
611
0
27 Dec 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
285
36,371
0
25 Aug 2016
1