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PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning

PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning

9 October 2024
Jiashi Gao
Ziwei Wang
Xiangyu Zhao
Xin Yao
Xuetao Wei
ArXivPDFHTML

Papers citing "PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning"

13 / 13 papers shown
Title
Towards Understanding Fairness and its Composition in Ensemble Machine
  Learning
Towards Understanding Fairness and its Composition in Ensemble Machine Learning
Usman Gohar
Sumon Biswas
Hridesh Rajan
FaML
FedML
50
24
0
08 Dec 2022
FairFed: Enabling Group Fairness in Federated Learning
FairFed: Enabling Group Fairness in Federated Learning
Yahya H. Ezzeldin
Shen Yan
Chaoyang He
Emilio Ferrara
A. Avestimehr
FedML
63
206
0
02 Oct 2021
Addressing Algorithmic Disparity and Performance Inconsistency in
  Federated Learning
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
Sen Cui
Weishen Pan
Jian Liang
Changshui Zhang
Fei Wang
FedML
73
87
0
19 Aug 2021
Exacerbating Algorithmic Bias through Fairness Attacks
Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi
Muhammad Naveed
Fred Morstatter
Aram Galstyan
AAML
55
67
0
16 Dec 2020
Fairness-aware Agnostic Federated Learning
Fairness-aware Agnostic Federated Learning
Wei Du
Depeng Xu
Xintao Wu
Hanghang Tong
FedML
57
130
0
10 Oct 2020
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
YooJung Choi
Meihua Dang
Guy Van den Broeck
FaML
44
33
0
18 Sep 2020
Data Poisoning Attacks Against Federated Learning Systems
Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin
Stacey Truex
Mehmet Emre Gursoy
Ling Liu
FedML
111
653
0
16 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang
Kartik K. Sreenivasan
Shashank Rajput
Harit Vishwakarma
Saurabh Agarwal
Jy-yong Sohn
Kangwook Lee
Dimitris Papailiopoulos
FedML
68
603
0
09 Jul 2020
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Minghong Fang
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
AAML
OOD
FedML
99
1,103
0
26 Nov 2019
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
OOD
FedML
113
1,492
0
05 Mar 2018
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
99
1,767
0
19 Sep 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,437
0
17 Feb 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
173
1,984
0
11 Dec 2014
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