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Revisiting Personalized Federated Learning: Robustness Against Backdoor
  Attacks

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks

3 February 2023
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
    FedML
ArXivPDFHTML

Papers citing "Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks"

17 / 17 papers shown
Title
BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation
Chengcheng Zhu
J. Zhang
Di Wu
Guodong Long
FedML
AAML
37
0
0
09 Mar 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
Mingyuan Fan
Zhanyi Hu
Fuyi Wang
Cen Chen
SILM
36
0
0
22 Jan 2025
Uncovering, Explaining, and Mitigating the Superficial Safety of
  Backdoor Defense
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
Rui Min
Zeyu Qin
Nevin L. Zhang
Li Shen
Minhao Cheng
AAML
31
4
0
13 Oct 2024
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor
  Attacks in Federated Learning
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning
Anqi Zhou
Yezheng Liu
Yidong Chai
Hongyi Zhu
Xinyue Ge
Yuanchun Jiang
Meng Wang
AAML
31
0
0
30 Jun 2024
TabularMark: Watermarking Tabular Datasets for Machine Learning
TabularMark: Watermarking Tabular Datasets for Machine Learning
Yihao Zheng
Haocheng Xia
Junyuan Pang
Jinfei Liu
Kui Ren
Lingyang Chu
Yang Cao
Li Xiong
16
4
0
21 Jun 2024
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against
  Personalized Federated Learning
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
Xiaoting Lyu
Yufei Han
Wei Wang
Jingkai Liu
Yongsheng Zhu
Guangquan Xu
Jiqiang Liu
Xiangliang Zhang
AAML
FedML
30
6
0
10 Jun 2024
Pre-trained Trojan Attacks for Visual Recognition
Pre-trained Trojan Attacks for Visual Recognition
Aishan Liu
Xinwei Zhang
Yisong Xiao
Yuguang Zhou
Siyuan Liang
Jiakai Wang
Xianglong Liu
Xiaochun Cao
Dacheng Tao
AAML
61
25
0
23 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated
  Learning, and the Defense Mechanisms: A Comprehensive Survey
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
Yichen Wan
Youyang Qu
Wei Ni
Yong Xiang
Longxiang Gao
Ekram Hossain
AAML
42
33
0
14 Dec 2023
Towards Stable Backdoor Purification through Feature Shift Tuning
Towards Stable Backdoor Purification through Feature Shift Tuning
Rui Min
Zeyu Qin
Li Shen
Minhao Cheng
AAML
22
20
0
03 Oct 2023
You Can Backdoor Personalized Federated Learning
You Can Backdoor Personalized Federated Learning
Tiandi Ye
Cen Chen
Yinggui Wang
Xiang Li
Ming Gao
AAML
FedML
9
4
0
29 Jul 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Daoyuan Chen
Fandong Meng
Dawei Gao
Bolin Ding
Yaliang Li
FedML
96
47
0
04 May 2023
FS-Real: Towards Real-World Cross-Device Federated Learning
FS-Real: Towards Real-World Cross-Device Federated Learning
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
109
26
0
23 Mar 2023
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in
  Federated Learning
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Shenghui Li
Edith C. H. Ngai
Fanghua Ye
Li Ju
Tianru Zhang
Thiemo Voigt
AAML
FedML
19
12
0
10 Jun 2022
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
183
840
0
01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
784
0
15 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
351
0
07 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
1,014
0
29 Nov 2018
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