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Securing Federated Sensitive Topic Classification against Poisoning
  Attacks

Securing Federated Sensitive Topic Classification against Poisoning Attacks

31 January 2022
Tianyue Chu
Álvaro García-Recuero
Costas Iordanou
Georgios Smaragdakis
Nikolaos Laoutaris
ArXivPDFHTML

Papers citing "Securing Federated Sensitive Topic Classification against Poisoning Attacks"

5 / 5 papers shown
Title
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Minghong Fang
Seyedsina Nabavirazavi
Zhuqing Liu
Wei Sun
S. Iyengar
Haibo Yang
AAML
OOD
76
5
0
29 Jan 2025
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in
  Federated Learning
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Bo Li
Radha Poovendran
FedML
35
1
0
31 May 2024
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
42
210
0
14 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
104
610
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
177
1,031
0
29 Nov 2018
1