FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients

19 July 2022

Papers citing "FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"

28 / 78 papers shown

Title
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
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective Zhen Qin Feiyi Chen Chen Zhi Xueqiang Yan Shuiguang Deng AAML FedML 40 4 0 28 Sep 2023
PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning Jianhua Wang Xiaolin Chang Jelena Mivsić Vojislav B. Mivsić Zhi Chen Junchao Fan 39 2 0 25 Sep 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
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning Yanqi Qiao Dazhuang Liu Congwen Chen Rui Wang Kaitai Liang FedML AAML 38 1 0 31 Aug 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks Ehsanul Kabir Zeyu Song Md. Rafi Ur Rashid Shagufta Mehnaz 24 6 0 10 Aug 2023
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Haomin Zhuang Mingxian Yu Hao Wang Yang Hua Jian Li Xu Yuan FedML 26 9 0 08 Aug 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 31 12 0 08 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 27 4 0 06 Jun 2023
Covert Communication Based on the Poisoning Attack in Federated Learning Junchuan Liang Rong Wang FedML 34 1 0 02 Jun 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design Zaixin Zhang Qi Liu 33 34 0 22 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation M. Xhemrishi Johan Ostman Antonia Wachter-Zeh Alexandre Graell i Amat FedML 25 6 0 09 May 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 24 9 0 21 Apr 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 13 4 0 29 Mar 2023
Backdoor Defense via Deconfounded Representation Learning Zaixin Zhang Qi Liu Zhicai Wang Zepu Lu Qingyong Hu AAML 57 39 0 13 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 40 56 0 03 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
Poisoning Attacks and Defenses in Federated Learning: A Survey S. Sagar Chang-Sun Li S. W. Loke Jinho Choi OOD FedML 18 9 0 14 Jan 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
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense Yang Yu Qi Liu Likang Wu Runlong Yu Sanshi Lei Yu Zaixin Zhang FedML 24 44 0 11 Dec 2022
FedLesScan: Mitigating Stragglers in Serverless Federated Learning M. Elzohairy Mohak Chadha Anshul Jindal Andreas Grafberger Jiatao Gu Michael Gerndt Osama Abboud FedML 26 7 0 10 Nov 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information Xiaoyu Cao Jinyuan Jia Zaixi Zhang Neil Zhenqiang Gong FedML MU AAML 29 73 0 20 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 35 6 0 13 Oct 2022
FLCert: Provably Secure Federated Learning against Poisoning Attacks Xiaoyu Cao Zaixi Zhang Jinyuan Jia Neil Zhenqiang Gong FedML OOD 83 59 0 02 Oct 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux 15 7 0 28 Jul 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 51 42 0 18 Feb 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 611 0 27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018