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Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning

Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning

13 July 2024
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
    AAML
ArXivPDFHTML

Papers citing "Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning"

3 / 3 papers shown
Title
FedMADE: Robust Federated Learning for Intrusion Detection in IoT
  Networks Using a Dynamic Aggregation Method
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
Shihua Sun
Pragya Sharma
Kenechukwu Nwodo
Angelos Stavrou
Haining Wang
32
2
0
13 Aug 2024
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
108
611
0
27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
182
1,032
0
29 Nov 2018
1