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ACE: A Model Poisoning Attack on Contribution Evaluation Methods in
  Federated Learning

ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning

31 May 2024
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Bo Li
Radha Poovendran
    FedML
ArXivPDFHTML

Papers citing "ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning"

6 / 6 papers shown
Title
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Zhaomin Wu
Zhen Qin
Junyi Hou
Haodong Zhao
Qinbin Li
Bingsheng He
Lixin Fan
FedML
64
1
0
12 Feb 2025
Secure Shapley Value for Cross-Silo Federated Learning (Technical
  Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
58
24
0
11 Sep 2022
Securing Federated Sensitive Topic Classification against Poisoning
  Attacks
Securing Federated Sensitive Topic Classification against Poisoning Attacks
Tianyue Chu
Álvaro García-Recuero
Costas Iordanou
Georgios Smaragdakis
Nikolaos Laoutaris
18
9
0
31 Jan 2022
Improving Fairness for Data Valuation in Horizontal Federated Learning
Improving Fairness for Data Valuation in Horizontal Federated Learning
Zhenan Fan
Huang Fang
Zirui Zhou
Jian Pei
M. Friedlander
Changxin Liu
Yong Zhang
TDI
FedML
27
47
0
19 Sep 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
151
455
0
01 May 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
1