Learning to Detect Malicious Clients for Robust Federated Learning

1 February 2020

Yang Liu

Papers citing "Learning to Detect Malicious Clients for Robust Federated Learning"

38 / 88 papers shown

Title
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients Zaixi Zhang Xiaoyu Cao Jin Jia Neil Zhenqiang Gong AAML FedML 11 214 0 19 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 17 13 0 05 Jul 2022
Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang Ashwinee Panda Linyue Song Yaoqing Yang Michael W. Mahoney Joseph E. Gonzalez Kannan Ramchandran Prateek Mittal FedML 6 129 0 12 Jun 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules Zhaoxian Wu Tianyi Chen Qing Ling 31 36 0 09 Jun 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 36 19 0 07 Apr 2022
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey Zhilin Wang Qiao Kang Xinyi Zhang Qin Hu AAML FedML 52 21 0 13 Feb 2022
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection Yuxi Mi Yiheng Sun Jihong Guan Shuigeng Zhou AAML FedML 11 1 0 09 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 29 210 0 20 Jan 2022
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack Yongkang Wang Dihua Zhai Yufeng Zhan Yuanqing Xia FedML AAML 28 14 0 11 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 23 92 0 08 Jan 2022
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection Phillip Rieger T. D. Nguyen Markus Miettinen A. Sadeghi FedML AAML 14 149 0 03 Jan 2022
EIFFeL: Ensuring Integrity for Federated Learning A. Chowdhury Chuan Guo S. Jha L. V. D. van der Maaten FedML 72 73 0 23 Dec 2021
Robust Federated Learning for execution time-based device model identification under label-flipping attack Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán J. R. Rubio Gérome Bovet Gregorio Martínez Pérez FedML 25 6 0 29 Nov 2021
MANDERA: Malicious Node Detection in Federated Learning via Ranking Wanchuang Zhu Benjamin Zi Hao Zhao Simon Luo Tongliang Liu Kefeng Deng AAML 6 8 0 22 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 23 4 0 21 Oct 2021
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data Kun Zhai Qiang Ren Junli Wang Chungang Yan 13 11 0 06 Sep 2021
Federated Learning: Issues in Medical Application Joo Hun Yoo Hyejun Jeong Jaehyeok Lee Tai M. Chung FedML OOD 23 13 0 01 Sep 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 18 45 0 24 Aug 2021
ABC-FL: Anomalous and Benign client Classification in Federated Learning Hyejun Jeong Joonyong Hwang Tai-Myung Chung 8 4 0 10 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 26 72 0 01 Aug 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML OOD AAML 25 10 0 03 Jul 2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning Feng-Shih Lin Weiyu Li Qing Ling FedML 6 6 0 13 Jun 2021
FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning S. K. Shyn Donghee Kim Kwangsu Kim FedML 10 22 0 04 Jun 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities Jiahui Geng Neel Kanwal M. Jaatun Chunming Rong 15 19 0 18 May 2021
Robust Federated Learning with Attack-Adaptive Aggregation Ching Pui Wan Qifeng Chen OOD FedML 12 30 0 10 Feb 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C. H. Ngai Fanghua Ye Thiemo Voigt FedML 11 27 0 14 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 19 26 0 06 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 11 269 0 18 Dec 2020
An Exploratory Analysis on Users' Contributions in Federated Learning Jiyue Huang Rania Talbi Zilong Zhao S. Bouchenak L. Chen Stefanie Roos FedML 13 30 0 13 Nov 2020
BaFFLe: Backdoor detection via Feedback-based Federated Learning Sébastien Andreina G. Marson Helen Möllering Ghassan O. Karame FedML 27 137 0 04 Nov 2020
Mitigating Backdoor Attacks in Federated Learning Chen Wu Xian Yang Sencun Zhu P. Mitra FedML AAML 15 103 0 28 Oct 2020
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 10 26 0 18 Sep 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 11 23 0 17 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 17 144 0 08 Sep 2020
Toward Smart Security Enhancement of Federated Learning Networks Junjie Tan Ying-Chang Liang Nguyen Cong Luong Dusit Niyato AAML 20 37 0 19 Aug 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 40 586 0 17 Jul 2020
Robust Federated Recommendation System Chen Chen Jingfeng Zhang A. Tung Mohan S. Kankanhalli Gang Chen FedML 39 26 0 15 Jun 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,032 0 29 Nov 2018