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2011.01767
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Mitigating Backdoor Attacks in Federated Learning
28 October 2020
Chen Wu
Xian Yang
Sencun Zhu
P. Mitra
FedML
AAML
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Papers citing
"Mitigating Backdoor Attacks in Federated Learning"
40 / 40 papers shown
Hammer and Anvil: A Principled Defense Against Backdoors in Federated Learning
L. Fenaux
Zheng Wang
Jacob Yan
Nathan Chung
Florian Kerschbaum
FedML
AAML
121
0
0
09 Sep 2025
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
Daniel Gutiérrez
Yelizaveta Falkouskaya
Jose L. Hernandez-Ramos
Aris Anagnostopoulos
I. Chatzigiannakis
A. Vitaletti
FedML
279
2
0
19 Aug 2025
FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning
T. Nguyen
Khoa D. Doan
Kok-Seng Wong
FedML
AAML
207
1
0
06 Aug 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
330
27
0
08 May 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
Pattern Recognition (Pattern Recogn.), 2025
Lingguag Hao
K. Hao
Bing Wei
Xue-song Tang
FedML
AAML
396
0
0
23 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
268
0
0
03 Feb 2025
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning
Tao Liu
Wu Yang
Chen Xu
Jiguang Lv
Huanran Wang
Yuhang Zhang
Shuchun Xu
Dapeng Man
AAML
FedML
380
2
0
06 Nov 2024
LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning
Dung T. Nguyen
Ziyan An
Taylor T. Johnson
Meiyi Ma
Kevin Leach
AI4TS
348
1
0
05 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks
BigData Congress [Services Society] (BSS), 2024
D. Nguyen
Phi Le Nguyen
T. Nguyen
Hieu H. Pham
D. Tran
FedML
283
2
0
05 Nov 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Tao Li
Henger Li
Yunian Pan
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
216
10
0
22 Oct 2024
FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons
International Conference on Multimedia Retrieval (ICMR), 2024
Binbin Ding
Penghui Yang
Zeqing Ge
AAML
FedML
313
0
0
16 Aug 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
Chao Feng
Alberto Huertas Celdrán
Jan von der Assen
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
OOD
AAML
253
18
0
11 Jul 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Bo Li
Radha Poovendran
FedML
367
10
0
31 May 2024
Data Poisoning Attacks in Gossip Learning
International Conference on Advanced Information Networking and Applications (AINA), 2024
Alexandre Pham
M. Potop-Butucaru
Sébastien Tixeuil
Serge Fdida
130
4
0
11 Mar 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare
International Conference on Future Data and Security Engineering (ICFDSE), 2024
Hyejun Jeong
Tai-Myung Chung
FedML
226
2
0
16 Jan 2024
Attacking Byzantine Robust Aggregation in High Dimensions
Sarthak Choudhary
Aashish Kolluri
Prateek Saxena
AAML
262
4
0
22 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
308
40
0
27 Nov 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning
Yanqi Qiao
Dazhuang Liu
Congwen Chen
Rui Wang
Kaitai Liang
FedML
AAML
285
2
0
31 Aug 2023
Towards Sybil Resilience in Decentralized Learning
Thomas Werthenbach
J. Pouwelse
AAML
251
2
0
26 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning
Yunian Pan
Tao Li
Henger Li
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
363
15
0
23 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report)
Henger Li
Tianyi Xu
Tao Li
Yunian Pan
Quanyan Zhu
Zizhan Zheng
AAML
FedML
413
1
0
23 Jun 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Manaar Alam
Hithem Lamri
Michail Maniatakos
FedML
AAML
MU
240
25
0
20 Apr 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaopeng Jiang
Cristian Borcea
FedML
218
34
0
10 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Engineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Thuy-Dung Nguyen
Tuan Nguyen
Phi Le Nguyen
Hieu H. Pham
Khoa D. Doan
Kok-Seng Wong
AAML
FedML
200
99
0
03 Mar 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
Future generations computer systems (FGCS), 2023
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
358
46
0
20 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Kavita Kumari
Phillip Rieger
Hossein Fereidooni
Murtuza Jadliwala
A. Sadeghi
AAML
FedML
271
50
0
23 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Pei Fang
Jinghui Chen
FedML
274
63
0
19 Jan 2023
Hijack Vertical Federated Learning Models As One Party
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Pengyu Qiu
Xuhong Zhang
R. Beyah
Changjiang Li
Yuwen Pu
Xing Yang
Ting Wang
FedML
315
12
0
01 Dec 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
Conference on Computer and Communications Security (CCS), 2022
Chulin Xie
Yunhui Long
Pin-Yu Chen
Qinbin Li
Arash Nourian
Sanmi Koyejo
Bo Li
FedML
450
23
0
08 Sep 2022
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection
Yuxi Mi
Yiheng Sun
Jihong Guan
Shuigeng Zhou
AAML
FedML
171
4
0
09 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Information Fusion (Inf. Fusion), 2022
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
305
300
0
20 Jan 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
351
13
0
19 Dec 2021
On the Security & Privacy in Federated Learning
Gorka Abad
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
369
13
0
10 Dec 2021
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning
Z. Bilgin
FedML
AAML
135
2
0
29 Nov 2021
Federated Learning: Issues in Medical Application
International Conference on Future Data and Security Engineering (ICFDSE), 2021
Joo Hun Yoo
Hyejun Jeong
Jaehyeok Lee
Tai M. Chung
FedML
OOD
231
17
0
01 Sep 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Virat Shejwalkar
Amir Houmansadr
Peter Kairouz
Daniel Ramage
AAML
418
297
0
23 Aug 2021
ABC-FL: Anomalous and Benign client Classification in Federated Learning
Hyejun Jeong
Joonyong Hwang
Tai-Myung Chung
173
4
0
10 Aug 2021
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
325
21
0
28 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
Basel Alomair
Aleksander Madry
Yue Liu
Tom Goldstein
SILM
596
382
0
18 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Jiabo He
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
634
502
0
07 Dec 2020
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