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Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat
  Detection System via Autoencoder-based Latent Space Inspection

Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection

20 September 2023
Tran Duc Luong
Vuong Minh Tien
N. H. Quyen
Do Thi Thu Hien
Phan The Duy
V. Pham
    AAML
ArXivPDFHTML

Papers citing "Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection"

5 / 5 papers shown
Title
FL-Defender: Combating Targeted Attacks in Federated Learning
FL-Defender: Combating Targeted Attacks in Federated Learning
N. Jebreel
J. Domingo-Ferrer
AAML
FedML
43
56
0
02 Jul 2022
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
101
955
0
03 Feb 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior
  Attestation
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation
Ranwa Al Mallah
David López
Godwin Badu-Marfo
Bilal Farooq
AAML
44
39
0
24 Jan 2021
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
616
0
27 Dec 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
204
436
0
04 Mar 2020
1