MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients

16 March 2022

Papers citing "MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients"

50 / 56 papers shown

Title
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 29 0 0 14 May 2025
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks M. S. HaghighiFard Sinem Coleri AAML 33 0 0 02 May 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
Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends Kai Li Zhengyang Zhang Azadeh Pourkabirian Wei Ni Falko Dressler Ozgur B. Akan 50 0 0 01 Apr 2025
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework Usama Zafar André Teixeira Salman Toor FedML AAML 56 0 0 26 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 82 0 0 24 Feb 2025
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL Ehsan Hallaji R. Razavi-Far M. Saif AAML 43 0 0 23 Feb 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 84 6 0 29 Jan 2025
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data Serkan Salturk Irem Sayin Ibrahim Cem Balci Taha Emre Pamukcu Zafer Soydan Huseyin Uvet 38 0 0 25 Dec 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution Jinbo Wang Ruijin Wang Fengli Zhang FedML AAML 29 0 0 16 Nov 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 31 0 0 16 Oct 2024
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
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 33 0 0 07 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 37 2 0 02 Oct 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 26 0 0 28 Sep 2024
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks Omid Tavallaie Kanchana Thilakarathna Suranga Seneviratne Aruna Seneviratne Albert Y. Zomaya FedML 29 2 0 23 Sep 2024
Peak-Controlled Logits Poisoning Attack in Federated Distillation Yuhan Tang Aoxu Zhang Zhiyuan Wu Bo Gao Tian Wen Yuwei Wang Sheng Sun FedML AAML 49 0 0 25 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
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
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Rui Ye Jingyi Chai Xiangrui Liu Yaodong Yang Yanfeng Wang Siheng Chen AAML 55 8 0 15 Jun 2024
Byzantine-Robust Decentralized Federated Learning Minghong Fang Zifan Zhang Hairi Prashant Khanduri Jia Liu Songtao Lu Yuchen Liu Neil Zhenqiang Gong AAML FedML OOD 43 18 0 14 Jun 2024
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder Jingjing Zheng Xin Yuan Kai Li Wei Ni Eduardo Tovar Jon Crowcroft FedML AAML 45 0 0 02 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 52 1 0 31 May 2024
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience T. T. Huynh Trong Bang Nguyen Phi Le Nguyen Thanh Tam Nguyen Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer MU 40 10 0 28 May 2024
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection M. S. HaghighiFard Sinem Coleri AAML 47 0 0 25 May 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning Minghui Li Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Leo Yu Zhang Yichen Wang FedML 27 5 0 06 May 2024
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie Minghong Fang Neil Zhenqiang Gong AAML 34 7 0 24 Apr 2024
Leverage Variational Graph Representation For Model Poisoning on Federated Learning Kai Li Xinnan Yuan Jingjing Zheng Wei Ni Falko Dressler Abbas Jamalipour AAML FedML 30 5 0 23 Apr 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction Zifan Zhang Minghong Fang Jiayuan Huang Yuchen Liu AAML 51 8 0 22 Apr 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning Hamid Mozaffari Sunav Choudhary Amir Houmansadr 46 2 0 10 Mar 2024
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks Ehsan Nowroozi Imran Haider R. Taheri Mauro Conti AAML 32 5 0 05 Mar 2024
Poisoning Federated Recommender Systems with Fake Users Ming Yin Yichang Xu Minghong Fang Neil Zhenqiang Gong AAML FedML 40 13 0 18 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 24 0 0 31 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 27 3 0 22 Jan 2024
Logits Poisoning Attack in Federated Distillation Yuhan Tang Zhiyuan Wu Bo Gao Tian Wen Yuwei Wang Sheng Sun FedML AAML 44 1 0 08 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 35 2 0 29 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 25 2 0 05 Dec 2023
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach Kai Li Jingjing Zheng Xinnan Yuan W. Ni Ozgur B. Akan H. Vincent Poor AAML 24 15 0 30 Nov 2023
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios Yanli Li Huaming Chen Wei Bao Zhengmeng Xu Dong Yuan AAML 26 5 0 10 Nov 2023
Competitive Advantage Attacks to Decentralized Federated Learning Yuqi Jia Minghong Fang Neil Zhenqiang Gong FedML 31 1 0 20 Oct 2023
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks Haonan Yan Wenjing Zhang Qian Chen Xiaoguang Li Wenhai Sun Hui Li Xiao-La Lin AAML 23 9 0 09 Oct 2023
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection Tran Duc Luong Vuong Minh Tien N. H. Quyen Do Thi Thu Hien Phan The Duy V. Pham AAML 14 1 0 20 Sep 2023
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning Wei Wan Shengshan Hu Minghui Li Jianrong Lu Longling Zhang Leo Yu Zhang Hai Jin AAML FedML 42 20 0 07 Aug 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Hangtao Zhang Zeming Yao L. Zhang Shengshan Hu Chao Chen Alan Liew Zhetao Li 21 9 0 21 Apr 2023
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning R. Behnia Mohammadreza Ebrahimi Arman Riasi Sherman S. M. Chow B. Padmanabhan Thang Hoang 21 6 0 07 Apr 2023
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models Yasser Benigmim Subhankar Roy S. Essid Vicky Kalogeiton Stéphane Lathuilière DiffM 53 27 0 31 Mar 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C. H. Ngai Thiemo Voigt FedML AAML 23 53 0 14 Feb 2023
AFLGuard: Byzantine-robust Asynchronous Federated Learning Minghong Fang Jia-Wei Liu Neil Zhenqiang Gong Elizabeth S. Bentley AAML 35 25 0 13 Dec 2022
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 38 7 0 29 Oct 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information Xiaoyu Cao Jinyuan Jia Zaixi Zhang Neil Zhenqiang Gong FedML MU AAML 26 73 0 20 Oct 2022