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Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

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
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
Toward Malicious Clients Detection in Federated Learning
Zhihao Dou
Jiaqi Wang
Wei Sun
Zhuqing Liu
Minghong Fang
AAML
39
0
0
14 May 2025
A Taxonomy of Attacks and Defenses in Split Learning
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
AAML
48
1
0
12 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness
  Analysis
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
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
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
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
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
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
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
38
2
0
26 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client
  Behaviour in Federated Learning
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio
Gabriele Dominici
Pietro Barbiero
Alberto Tonda
M. Gjoreski
Marc Langheinrich
FedML
34
0
0
24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated
  AI-enabled Critical Infrastructure
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
24 May 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein
Amrit Singh Bedi
Abdirisak Mohamed
Furong Huang
FedML
44
0
0
22 May 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Zifan Zhang
Minghong Fang
Jiayuan Huang
Yuchen Liu
AAML
51
8
0
22 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum
Ka-Ho Chow
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
FedML
42
1
0
15 Apr 2024
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
32
0
0
07 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive
  Models
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
Younghan Lee
Yungi Cho
Woorim Han
Ho Bae
Y. Paek
FedML
AAML
27
2
0
05 Mar 2024
FedReview: A Review Mechanism for Rejecting Poisoned Updates in
  Federated Learning
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning
Tianhang Zheng
Baochun Li
FedML
AAML
29
0
0
26 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
31
16
0
02 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its
  Countermeasures
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures
Yonghao Yu
Shunan Zhu
Jinglu Hu
AAML
FedML
35
0
0
31 Jan 2024
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