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Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

26 November 2019

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

50 / 64 papers shown

Title
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Huazi Pan Yanjun Zhang Leo Yu Zhang Scott Adams Abbas Kouzani Suiyang Khoo FedML 69 0 0 22 May 2025
Unlearning for Federated Online Learning to Rank: A Reproducibility Study Yiling Tao Shuyi Wang Jiaxi Yang Guido Zuccon MU 91 0 0 19 May 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning Zhiyong Jin Runhua Xu Chong Li Yunxing Liu Jianxin Li AAML FedML 126 0 0 30 Apr 2025
Traceback of Poisoning Attacks to Retrieval-Augmented Generation Baolei Zhang Haoran Xin Minghong Fang Zhuqing Liu Biao Yi Tong Li Zheli Liu SILM AAML 140 1 0 30 Apr 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 147 0 0 24 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 82 5 0 08 Feb 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 149 0 0 28 Jan 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu Junlong Li Kun Gao B. Liu Lefei Zhang Wanlei Zhou Yanmei Zhang AAML MU 156 1 0 28 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 116 0 0 08 Jan 2025
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 134 13 0 17 Sep 2024
LiD-FL: Towards List-Decodable Federated Learning Hong Liu Liren Shan Han Bao Ronghui You Yuhao Yi Jiancheng Lv FedML 168 0 0 09 Aug 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 124 1 0 13 Jul 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 112 4 0 12 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 98 3 0 02 Jul 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? Marco Bornstein Amrit Singh Bedi Abdirisak Mohamed Furong Huang FedML 104 0 0 22 May 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction Zifan Zhang Minghong Fang Jiayuan Huang Yuchen Liu AAML 115 8 0 22 Apr 2024
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 152 4 0 01 Aug 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 189 98 0 27 Jun 2023
FedCC: Robust Federated Learning against Model Poisoning Attacks Hyejun Jeong Hamin Son Seohu Lee Jayun Hyun Tai-Myoung Chung FedML 138 6 0 05 Dec 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Ali Raza Shujun Li K. Tran L. Koehl Kim Duc Tran AAML 120 4 0 18 Jul 2022
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML AAML 57 260 0 10 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 102 155 0 01 Mar 2019
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV AAML 61 249 0 03 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 307 1,059 0 29 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 93 796 0 01 Nov 2018
Poisoning Attacks to Graph-Based Recommender Systems Minghong Fang Guolei Yang Neil Zhenqiang Gong Jia-Wei Liu AAML 79 205 0 11 Sep 2018
Mitigating Sybils in Federated Learning Poisoning Clement Fung Chris J. M. Yoon Ivan Beschastnikh AAML 62 507 0 14 Aug 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 104 1,929 0 02 Jul 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 159 1,482 0 10 May 2018
Is feature selection secure against training data poisoning? Huang Xiao Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli AAML SILM 74 423 0 21 Apr 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi Wenjie Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein AAML 89 1,097 0 03 Apr 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 85 764 0 01 Apr 2018
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks Octavian Suciu R. Marginean Yigitcan Kaya Hal Daumé Tudor Dumitras AAML 83 287 0 19 Mar 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 131 1,517 0 05 Mar 2018
The Hidden Vulnerability of Distributed Learning in Byzantium El-Mahdi El-Mhamdi R. Guerraoui Sébastien Rouault AAML FedML 77 761 0 22 Feb 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 149 466 0 14 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 146 1,854 0 15 Dec 2017
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification Xiaoyu Cao Neil Zhenqiang Gong AAML 71 211 0 17 Sep 2017
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization Luis Muñoz-González Battista Biggio Ambra Demontis Andrea Paudice Vasin Wongrassamee Emil C. Lupu Fabio Roli AAML 110 633 0 29 Aug 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 130 1,782 0 22 Aug 2017
Knock Knock, Who's There? Membership Inference on Aggregate Location Data Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro MIACV 126 271 0 21 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,138 0 19 Jun 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 127 759 0 09 Jun 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 67 244 0 16 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 97 1,273 0 04 Apr 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 131 1,413 0 24 Feb 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 86 714 0 21 Feb 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 73 950 0 14 Feb 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 143 1,741 0 08 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 280 4,160 0 18 Oct 2016