Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

26 November 2019

Papers citing "Local Model Poisoning Attacks to Byzantine-Robust Federated Learning"

50 / 184 papers shown

Title
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Radha Poovendran 26 0 0 10 Jan 2024
MISA: Unveiling the Vulnerabilities in Split Federated Learning Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin 14 3 0 18 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 32 15 0 30 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 50 19 0 27 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Jianing Zhang Christopher G. Brinton Jaekyun Moon OOD FedML 40 15 0 01 Nov 2023
EcoLearn: Optimizing the Carbon Footprint of Federated Learning Talha Mehboob Noman Bashir Jesus Omana Iglesias Michael Zink David Irwin 33 0 0 27 Oct 2023
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 47 5 0 15 Oct 2023
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 41 8 0 03 Oct 2023
Toward Robust Recommendation via Real-time Vicinal Defense Yichang Xu Chenwang Wu Defu Lian AAML 18 0 0 29 Sep 2023
Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications Yusen Wu Jamie Deng Hao Chen Phuong Nguyen Yelena Yesha FedML 34 0 0 21 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 41 11 0 07 Sep 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 27 21 0 23 Aug 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
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 79 4 0 01 Aug 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 38 4 0 25 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 45 23 0 20 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 31 20 0 18 Jul 2023
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning Md Tamjid Hossain Hung M. La AAML 23 0 0 01 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 86 0 27 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan Tao Li Henger Li Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 35 10 0 23 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 35 44 0 17 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 27 4 0 06 Jun 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 39 4 0 26 May 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy Achintha Wijesinghe Songyang Zhang Zhi Ding FedML 32 7 0 19 May 2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection Thuy-Dung Nguyen Anh Duy Nguyen Kok-Seng Wong H. Pham T. Nguyen Phi Le Nguyen Truong Thao Nguyen FedML AAML 36 4 0 29 Apr 2023
Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization Christian A. Schroth Stefan Vlaski A. Zoubir FedML 57 1 0 27 Apr 2023
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems Aditya Pribadi Kalapaaking Ibrahim Khalil X. Yi 27 41 0 26 Apr 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 32 9 0 21 Apr 2023
Secure Federated Learning against Model Poisoning Attacks via Client Filtering D. Yaldiz Tuo Zhang Salman Avestimehr AAML FedML 24 14 0 31 Mar 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
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 33 34 0 19 Mar 2023
Mitigating Backdoors in Federated Learning with FLD Yi-Wen Lin Pengyuan Zhou Zhiqian Wu Yong Liao FedML 24 2 0 01 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 48 0 21 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 38 26 0 03 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 31 33 0 23 Jan 2023
Poisoning Attacks and Defenses in Federated Learning: A Survey S. Sagar Chang-Sun Li S. W. Loke Jinho Choi OOD FedML 26 9 0 14 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
Skefl: Single-Key Homomorphic Encryption for Secure Federated Learning Dongfang Zhao FedML 35 0 0 21 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 38 4 0 13 Dec 2022
Security Analysis of SplitFed Learning M. A. Khan Virat Shejwalkar Amir Houmansadr Fatima M. Anwar FedML 24 11 0 04 Dec 2022
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy H. Kikuchi 32 2 0 03 Dec 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 44 29 0 27 Nov 2022
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders Hanlin Gu Lixin Fan Xingxing Tang Qiang Yang AAML FedML 27 1 0 24 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks Naoya Tezuka H. Ochiai Yuwei Sun Hiroshi Esaki AAML 37 4 0 07 Nov 2022
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks Guanqiang Zhou Ping Xu Yue Wang Zhi Tian OOD FedML 39 4 0 29 Oct 2022
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 41 7 0 29 Oct 2022
Robustness of Locally Differentially Private Graph Analysis Against Poisoning Jacob Imola A. Chowdhury Kamalika Chaudhuri AAML 28 6 0 25 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 42 53 0 23 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 29 73 0 20 Oct 2022
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning Yuxin Wen Jonas Geiping Liam H. Fowl Hossein Souri Ramalingam Chellappa Micah Goldblum Tom Goldstein AAML SILM FedML 30 9 0 17 Oct 2022