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1911.11815
Cited By
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
26 November 2019
Minghong Fang
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
AAML
OOD
FedML
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Papers citing
"Local Model Poisoning Attacks to Byzantine-Robust Federated Learning"
50 / 184 papers shown
Title
Unlearning for Federated Online Learning to Rank: A Reproducibility Study
Yiling Tao
Shuyi Wang
Jiaxi Yang
Guido Zuccon
MU
9
0
0
19 May 2025
Toward Malicious Clients Detection in Federated Learning
Zhihao Dou
Jiaqi Wang
Wei Sun
Zhuqing Liu
Minghong Fang
AAML
39
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0
14 May 2025
A Taxonomy of Attacks and Defenses in Split Learning
Aqsa Shabbir
Halil Ibrahim Kanpak
Alptekin Küpçü
Sinem Sav
51
0
0
09 May 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
59
0
0
08 May 2025
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev
Usama Zafar
Salman Toor
Prashant Singh
FedML
43
0
0
05 May 2025
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
Baolei Zhang
Haoran Xin
Minghong Fang
Zhuqing Liu
Biao Yi
Tong Li
Zheli Liu
SILM
AAML
80
0
0
30 Apr 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning
Zhiyong Jin
Runhua Xu
Chong Li
Yunxing Liu
Jianxin Li
AAML
FedML
48
0
0
30 Apr 2025
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks
Han Zhang
Hao Zhou
Medhat H. M. Elsayed
Majid Bavand
Raimundas Gaigalas
Yigit Ozcan
Melike Erol-Kantarci
AAML
72
0
0
25 Apr 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
Phung Lai
Guanxiong Liu
Hai Phan
Issa M. Khalil
Abdallah Khreishah
Xintao Wu
FedML
36
0
0
17 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning
Tijana Milentijević
Mélanie Cambus
Darya Melnyk
Stefan Schmid
FedML
52
0
0
02 Apr 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis
Xinming Zhang
Xiaoyong Xue
Xiaoning Du
Xiaofei Xie
Ye Liu
Meng Sun
FedML
AAML
60
0
0
06 Mar 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
Zhihui Zhao
Xiaorong Dong
Yimo Ren
Jianhua Wang
Dan Yu
Hongsong Zhu
Yongle Chen
86
0
0
24 Feb 2025
FedCC: Robust Federated Learning against Model Poisoning Attacks
Hyejun Jeong
H. Son
Seohu Lee
Jayun Hyun
T. Chung
FedML
64
6
0
20 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
38
0
0
03 Feb 2025
Poisoning Attacks and Defenses to Federated Unlearning
Wenbin Wang
Qiwen Ma
Zifan Zhang
Yuchen Liu
Zhuqing Liu
Minghong Fang
MU
FedML
92
2
0
29 Jan 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Minghong Fang
Seyedsina Nabavirazavi
Zhuqing Liu
Wei Sun
S. Iyengar
Haibo Yang
AAML
OOD
91
6
0
29 Jan 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning
Dayong Ye
Tainqing Zhu
Jianxin Li
Kun Gao
B. Liu
Lefei Zhang
Wanlei Zhou
Yanmei Zhang
AAML
MU
80
0
0
28 Jan 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution
Norrathep Rattanavipanon
Ivan de Oliviera Nunes
86
0
0
28 Jan 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
Mingyuan Fan
Zhanyi Hu
Fuyi Wang
Cen Chen
SILM
45
0
0
22 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
Mehdi Ben Ghali
Reda Bellafqira
Gouenou Coatrieux
AAML
FedML
48
0
0
21 Jan 2025
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks
Ankit Gangwal
Mauro Conti
Tommaso Pauselli
AAML
46
0
0
12 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning
Bin Li
Xiaoye Miao
Yongheng Shang
Xinkui Zhao
AAML
49
0
0
08 Jan 2025
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
Yiwei Zhang
R. Behnia
A. Yavuz
Reza Ebrahimi
E. Bertino
FedML
28
2
0
13 Oct 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
Diego Cajaraville-Aboy
Ana Fernández-Vilas
R. Redondo
Manuel Fernández-Veiga
42
2
0
26 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
63
7
0
17 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
44
0
0
10 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
Jiahao Xu
Zikai Zhang
Rui Hu
46
6
0
02 Sep 2024
LiD-FL: Towards List-Decodable Federated Learning
Hong Liu
Liren Shan
Han Bao
Ronghui You
Yuhao Yi
Jiancheng Lv
FedML
49
0
0
09 Aug 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Yuan Yao
Zhiyong Peng
58
0
0
23 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
50
1
0
21 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
63
1
0
13 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning
Ning Wang
Shanghao Shi
Yang Xiao
Yimin Chen
Y. T. Hou
W. Lou
FedML
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48
1
0
12 Jul 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
56
8
0
11 Jul 2024
Semantic Communication Networks Empowered Artificial Intelligence of Things
Yuntao Wang
47
1
0
04 Jul 2024
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks
Zifan Zhang
Minghong Fang
Mingzhe Chen
Gaolei Li
Xi Lin
Yuchen Liu
AAML
45
3
0
02 Jul 2024
Asynchronous Byzantine Federated Learning
Bart Cox
Abele Malan
Lydia Y. Chen
Jérémie Decouchant
50
1
0
03 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
51
1
0
01 Jun 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
55
2
0
31 May 2024
A Systematic Review of Federated Generative Models
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Emiliano De Cristofaro
AI4CE
38
2
0
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Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio
Gabriele Dominici
Pietro Barbiero
Alberto Tonda
M. Gjoreski
Marc Langheinrich
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34
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24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure
Zehang Deng
Ruoxi Sun
Minhui Xue
Sheng Wen
S. Çamtepe
Surya Nepal
Yang Xiang
45
1
0
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FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
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Amrit Singh Bedi
Abdirisak Mohamed
Furong Huang
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44
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Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
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Jiayuan Huang
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On the Efficiency of Privacy Attacks in Federated Learning
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42
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FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
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Lidan Shou
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32
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FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
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Ho Bae
Y. Paek
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FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning
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Baochun Li
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29
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Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
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31
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Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures
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Shunan Zhu
Jinglu Hu
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