Threats to Federated Learning: A Survey

4 March 2020

Papers citing "Threats to Federated Learning: A Survey"

50 / 193 papers shown

Title
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 80 8 0 07 Dec 2023
Mitigating Data Injection Attacks on Federated Learning O. Shalom Amir Leshem W. U. Bajwa 90 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 97 24 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 81 0 0 14 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 84 32 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 57 2 0 07 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 114 55 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 70 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 57 4 0 06 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 64 17 0 30 Sep 2023
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection Tran Duc Luong Vuong Minh Tien N. H. Quyen Do Thi Thu Hien Phan The Duy V. Pham AAML 69 1 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 67 0 0 08 Sep 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML 80 10 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 77 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 131 0 0 04 Aug 2023
You Can Backdoor Personalized Federated Learning Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao AAML FedML 85 4 0 29 Jul 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 102 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 109 28 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 125 284 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 105 21 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 98 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 63 6 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 68 2 0 02 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 77 47 0 25 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 140 50 0 17 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 111 50 0 14 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 117 95 0 02 Jun 2023
Turning Privacy-preserving Mechanisms against Federated Learning Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 60 16 0 09 May 2023
Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization Christian A. Schroth Stefan Vlaski A. Zoubir FedML 91 2 0 27 Apr 2023
Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios Karim Gamal A. Gaber Hossam Amer FedML 87 6 0 30 Mar 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 74 52 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 75 0 0 26 Mar 2023
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks Aleksei A. Ponomarenko-Timofeev O. Galinina Ravikumar Balakrishnan N. Himayat Sergey D. Andreev Y. Koucheryavy FedML 58 3 0 17 Mar 2023
Considerations on the Theory of Training Models with Differential Privacy Marten van Dijk Phuong Ha Nguyen FedML 84 2 0 08 Mar 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 83 19 0 07 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 91 62 0 03 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 156 49 0 21 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 81 20 0 14 Feb 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 57 15 0 13 Feb 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 158 130 0 17 Jan 2023
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks Yi Shi Y. Sagduyu T. Erpek AAML 117 4 0 12 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application Liangqi Yuan Lu Su Ziran Wang 88 20 0 12 Jan 2023
Single-round Self-supervised Distributed Learning using Vision Transformer Sangjoon Park Ik-jae Lee Jun Won Kim Jong Chul Ye FedML MedIm 52 1 0 05 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 118 89 0 03 Jan 2023
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain Vesal Ahsani Alireza Rahimi Mehdi Letafati B. Khalaj 92 15 0 01 Jan 2023
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks Y. Sagduyu FedML 74 8 0 21 Dec 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 79 31 0 27 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 94 100 0 15 Nov 2022
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Enrique Tomás Martínez Beltrán Daniel Demeter Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML FedML 81 7 0 20 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 96 6 0 19 Oct 2022