Mitigating Backdoor Attacks in Federated Learning

28 October 2020

Papers citing "Mitigating Backdoor Attacks in Federated Learning"

38 / 38 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation Lingguag Hao K. Hao Bing Wei Xue-song Tang FedML AAML 59 0 0 23 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning Tao Liu Wu Yang Chen Xu Jiguang Lv Huanran Wang Yuhang Zhang Shuchun Xu Dapeng Man AAML FedML 35 0 0 06 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 36 0 0 05 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks D. Nguyen Phi Le Nguyen T. Nguyen Hieu H. Pham D. Tran FedML 29 0 0 05 Nov 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks Tao Li Henger Li Yunian Pan Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 29 5 0 22 Oct 2024
Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons Binbin Ding Penghui Yang Zeqing Ge Shengjun Huang AAML FedML 39 0 0 16 Aug 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 54 8 0 11 Jul 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 49 1 0 31 May 2024
Data Poisoning Attacks in Gossip Learning Alexandre Pham M. Potop-Butucaru Sébastien Tixeuil Serge Fdida 21 3 0 11 Mar 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 19 1 0 16 Jan 2024
Attacking Byzantine Robust Aggregation in High Dimensions Sarthak Choudhary Aashish Kolluri Prateek Saxena AAML 27 1 0 22 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 40 19 0 27 Nov 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 23 1 0 31 Aug 2023
Towards Sybil Resilience in Decentralized Learning Thomas Werthenbach J. Pouwelse AAML 15 2 0 26 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 29 10 0 23 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report) Henger Li Tianyi Xu Tao Li Yunian Pan Quanyan Zhu Zizhan Zheng AAML FedML 26 1 0 23 Jun 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 24 14 0 20 Apr 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning Xiaopeng Jiang Cristian Borcea FedML 26 15 0 10 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 32 56 0 03 Mar 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 21 31 0 23 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang Jinghui Chen FedML 22 30 0 19 Jan 2023
Hijack Vertical Federated Learning Models As One Party Pengyu Qiu Xuhong Zhang Shouling Ji Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 22 4 0 01 Dec 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 35 13 0 08 Sep 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 31 212 0 20 Jan 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 23 9 0 19 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 44 11 0 10 Dec 2021
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning Z. Bilgin FedML AAML 22 1 0 29 Nov 2021
Federated Learning: Issues in Medical Application Joo Hun Yoo Hyejun Jeong Jaehyeok Lee Tai M. Chung FedML OOD 31 13 0 01 Sep 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 34 213 0 23 Aug 2021
ABC-FL: Anomalous and Benign client Classification in Federated Learning Hyejun Jeong Joonyong Hwang Tai-Myung Chung 13 4 0 10 Aug 2021
Self-supervised Cross-silo Federated Neural Architecture Search Xinle Liang Yang Liu Jiahuan Luo Yuanqin He Tianjian Chen Qiang Yang FedML 100 18 0 28 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 13 270 0 18 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 182 1,032 0 29 Nov 2018