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Attack-Resistant Federated Learning with Residual-based Reweighting

Attack-Resistant Federated Learning with Residual-based Reweighting

24 December 2019
Shuhao Fu
Chulin Xie
Bo-wen Li
Qifeng Chen
    FedML
    AAML
ArXivPDFHTML

Papers citing "Attack-Resistant Federated Learning with Residual-based Reweighting"

14 / 14 papers shown
Title
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis
X. Zhang
Xiaoyong Xue
Xiaoning Du
Xiaofei Xie
Y. Liu
Meng Sun
FedML
AAML
60
0
0
06 Mar 2025
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of
  Negative Federated Learning
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
30
0
0
07 Mar 2024
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
21
0
0
26 Dec 2023
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy
  Labels
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Jichang Li
Guanbin Li
Hui Cheng
Zicheng Liao
Yizhou Yu
FedML
27
14
0
19 Dec 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning
FedDefender: Client-Side Attack-Tolerant Federated Learning
Sungwon Park
Sungwon Han
Fangzhao Wu
Sundong Kim
Bin Zhu
Xing Xie
Meeyoung Cha
FedML
AAML
25
20
0
18 Jul 2023
Linear Scalarization for Byzantine-robust learning on non-IID data
Linear Scalarization for Byzantine-robust learning on non-IID data
Latifa Errami
El Houcine Bergou
AAML
16
0
0
15 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated
  Additive Perturbations
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Jialing Liao
Zheng Chen
Erik G. Larsson
13
12
0
05 Oct 2022
Unraveling the Connections between Privacy and Certified Robustness in
  Federated Learning Against Poisoning Attacks
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
Chulin Xie
Yunhui Long
Pin-Yu Chen
Qinbin Li
Arash Nourian
Sanmi Koyejo
Bo Li
FedML
35
13
0
08 Sep 2022
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Naif Alkhunaizi
Dmitry Kamzolov
Martin Takávc
Karthik Nandakumar
OOD
13
9
0
15 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense
  Mechanisms
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
19
13
0
05 Jul 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
D. Song
Michael I. Jordan
FedML
93
30
0
24 May 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated
  Learning
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
Gorka Abad
Servio Paguada
Oguzhan Ersoy
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
FedML
18
6
0
16 Mar 2022
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie
Minghao Chen
Pin-Yu Chen
Bo-wen Li
FedML
28
164
0
15 Jun 2021
Learning from History for Byzantine Robust Optimization
Learning from History for Byzantine Robust Optimization
Sai Praneeth Karimireddy
Lie He
Martin Jaggi
FedML
AAML
22
173
0
18 Dec 2020
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