Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2410.06509
Cited By
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
9 October 2024
Jiashi Gao
Ziwei Wang
Xiangyu Zhao
Xin Yao
Xuetao Wei
Re-assign community
ArXiv
PDF
HTML
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
Usman Gohar
Sumon Biswas
Hridesh Rajan
FaML
FedML
50
24
0
08 Dec 2022
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
Sen Cui
Weishen Pan
Jian Liang
Changshui Zhang
Fei Wang
FedML
73
87
0
19 Aug 2021
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
Wei Du
Depeng Xu
Xintao Wu
Hanghang Tong
FedML
57
130
0
10 Oct 2020
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
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
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
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
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
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
99
1,767
0
19 Sep 2016
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
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
173
1,984
0
11 Dec 2014
1