Threats to Federated Learning: A Survey

4 March 2020

Papers citing "Threats to Federated Learning: A Survey"

50 / 203 papers shown

Title
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning Can Liu Jin Wang 154 1 0 13 Mar 2024
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation Zahir Alsulaimawi AAML FedML 91 5 0 05 Mar 2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors Yiwei Lu Matthew Y.R. Yang Gautam Kamath Yaoliang Yu AAML SILM 175 9 0 20 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 198 9 0 06 Feb 2024
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding Chanho Park Namyoon Lee FedML AAML 152 2 0 02 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning M. Hayashitani Junki Mori Isamu Teranishi FedML 208 1 0 01 Feb 2024
Decentralized Federated Learning: A Survey on Security and PrivacyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Ehsan Hallaji R. Razavi-Far R. Razavi-Far Boyu Wang Qiang Yang FedML 168 66 0 25 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital HealthcareInternational Conference on Future Data and Security Engineering (ICFDSE), 2024 Hyejun Jeong Tai-Myung Chung FedML 100 1 0 16 Jan 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024 Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 206 10 0 16 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 145 63 0 27 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 126 11 0 07 Dec 2023
Mitigating Data Injection Attacks on Federated LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 O. Shalom Amir Leshem W. U. Bajwa 139 2 0 04 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 161 30 0 27 Nov 2023
The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks Adam Piaseczny Eric Ruzomberka Rohit Parasnis Christopher G. Brinton FedML 161 1 0 14 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision TasksNeural Information Processing Systems (NeurIPS), 2023 Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 175 49 0 13 Nov 2023
SaFL: Sybil-aware Federated Learning with Application to Face Recognition Mahdieh Ghafourian Julian Fierrez R. Vera-Rodríguez Ruben Tolosana Aythami Morales 67 4 0 07 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future DirectionsACM Computing Surveys (ACM Comput. Surv.), 2023 Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 226 78 0 31 Oct 2023
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks Xin Liu Wei Tao Dazhi Zhan Yu Pan Xin Ma Yu Ding Zhisong Pan FedML 147 0 0 09 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 152 4 0 06 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated LearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 106 21 0 30 Sep 2023
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space InspectionJournal of Information Security and Applications (JISA), 2023 Tran Duc Luong Vuong Minh Tien N. H. Quyen Do Thi Thu Hien Phan The Duy V. Pham AAML 106 3 0 20 Sep 2023
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos Di Wang Xiaotong Liu Shao-Bo Lin Ding-Xuan Zhou 126 1 0 08 Sep 2023
Towards Attack-tolerant Federated Learning via Critical Parameter AnalysisIEEE International Conference on Computer Vision (ICCV), 2023 Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML 112 14 0 18 Aug 2023
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks Indu Joshi Priya Upadhya Gaurav Kumar Nayak Peter Schuffler Nassir Navab AAML FedML 107 0 0 14 Aug 2023
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection Nasimeh Heydaribeni Ruisi Zhang T. Javidi Cristina Nita-Rotaru F. Koushanfar FedML 162 1 0 04 Aug 2023
You Can Backdoor Personalized Federated LearningACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao AAML FedML 116 7 0 29 Jul 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 195 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 202 33 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research ChallengesACM Computing Surveys (ACM Comput. Surv.), 2023 Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 227 373 0 20 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated LearningKnowledge Discovery and Data Mining (KDD), 2023 Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 123 28 0 18 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 245 5 0 05 Jul 2023
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks Aysha Thahsin Zahir Ismail R. Shukla AAML FedML 103 7 0 04 Jul 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML 149 3 0 02 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-offACM Computing Surveys (ACM Comput. Surv.), 2023 Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 128 64 0 25 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and DefensesIEEE Communications Surveys and Tutorials (COMST), 2023 M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 249 73 0 17 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A SurveyInformation Fusion (Inf. Fusion), 2023 Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 175 66 0 14 Jun 2023
Decentralized Federated Learning: A Survey and PerspectiveIEEE Internet of Things Journal (IEEE IoT J.), 2023 Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 179 146 0 02 Jun 2023
Turning Privacy-preserving Mechanisms against Federated LearningConference on Computer and Communications Security (CCS), 2023 Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 94 17 0 09 May 2023
Attacks on Robust Distributed Learning Schemes via Sensitivity Curve MaximizationInternational Conference on Digital Signal Processing (ICDSP), 2023 Christian A. Schroth Stefan Vlaski A. Zoubir FedML 123 2 0 27 Apr 2023
Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios Karim Gamal A. Gaber Hossam Amer FedML 174 6 0 30 Mar 2023
Fair Federated Medical Image Segmentation via Client Contribution EstimationComputer Vision and Pattern Recognition (CVPR), 2023 Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 104 67 0 29 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 104 1 0 26 Mar 2023
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Aleksei A. Ponomarenko-Timofeev O. Galinina Ravikumar Balakrishnan N. Himayat Sergey D. Andreev Y. Koucheryavy FedML 140 4 0 17 Mar 2023
Considerations on the Theory of Training Models with Differential Privacy Marten van Dijk Phuong Ha Nguyen FedML 140 3 0 08 Mar 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning AttacksInternational Conference on Machine Learning (ICML), 2023 Yiwei Lu Gautam Kamath Yaoliang Yu AAML 107 20 0 07 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research DirectionsEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023 Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 134 77 0 03 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and PrivacyThe Web Conference (WWW), 2023 Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 240 57 0 21 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 125 21 0 14 Feb 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient SplittingInternational Conference on Machine Learning (ICML), 2023 Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 125 17 0 13 Feb 2023
Dataset Distillation: A Comprehensive ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Ruonan Yu Songhua Liu Xinchao Wang DD 254 147 0 17 Jan 2023