Threats to Federated Learning: A Survey

4 March 2020

Papers citing "Threats to Federated Learning: A Survey"

50 / 203 papers shown

Title
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless NetworksConference on Computer Communications Workshops (INFOCOM), 2023 Yi Shi Y. Sagduyu T. Erpek AAML 190 6 0 12 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring ApplicationIEEE Internet of Things Journal (IEEE IoT J.), 2023 Liangqi Yuan Lu Su Ziran Wang 123 25 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 176 1 0 05 Jan 2023
Recent Advances on Federated Learning: A Systematic SurveyNeurocomputing (Neurocomputing), 2023 Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 180 127 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 178 17 0 01 Jan 2023
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless NetworksIEEE Conference on Communications and Network Security (IEEE CNS), 2022 Y. Sagduyu FedML 127 10 0 21 Dec 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 133 34 0 27 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 134 118 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 167 8 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 155 6 0 19 Oct 2022
Federated Learning for Tabular Data: Exploring Potential Risk to PrivacyIEEE International Symposium on Software Reliability Engineering (ISSRE), 2022 Han Wu Zilong Zhao L. Chen Aad van Moorsel FedML 86 9 0 13 Oct 2022
Federated Learning based on Defending Against Data Poisoning Attacks in IoT Jiayin Li Wenzhong Guo Xingshuo Han Jianping Cai Ximeng Liu AAML 145 1 0 14 Sep 2022
Cerberus: Exploring Federated Prediction of Security EventsConference on Computer and Communications Security (CCS), 2022 Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 186 18 0 07 Sep 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 85 3 0 04 Aug 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent KernelsNeural Information Processing Systems (NeurIPS), 2022 Yaodong Yu Alexander Wei Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 124 32 0 13 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far R. Razavi-Far AAML FedML 109 14 0 05 Jul 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 172 6 0 14 Jun 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated LearningInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2022 Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 145 15 0 10 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated LearningUSENIX Security Symposium (USENIX Security), 2022 Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 157 60 0 08 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated LearningNeural Information Processing Systems (NeurIPS), 2022 Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 172 70 0 08 Jun 2022
Federated Adversarial Training with Transformers Ahmed Aldahdooh W. Hamidouche Olivier Déforges FedML ViT 111 2 0 05 Jun 2022
Decentralized Federated Learning Based on Committees and Blockchain Chao Yang FedML 48 1 0 23 May 2022
Federated Learning with Noisy User FeedbackNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Rahul Sharma Anil Ramakrishna Ansel MacLaughlin Anna Rumshisky Jimit Majmudar Clement Chung Salman Avestimehr Rahul Gupta FedML 149 11 0 06 May 2022
Federated Contrastive Learning for Volumetric Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 95 63 0 23 Apr 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 145 28 0 19 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch PermutationIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Sangjoon Park Jong Chul Ye FedML MedIm 150 22 0 07 Apr 2022
Privacy-Preserving Aggregation in Federated Learning: A SurveyIEEE Transactions on Big Data (TBD), 2022 Ziyao Liu Jiale Guo Wenzhuo Yang Jiani Fan Kwok-Yan Lam Jun Zhao FedML 186 106 0 31 Mar 2022
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation SystemsDesign, Automation and Test in Europe (DATE), 2022 Zishen Wan Aqeel Anwar Abdulrahman Mahmoud Tianyu Jia Yu-Shun Hsiao Vijay Janapa Reddi A. Raychowdhury 101 22 0 14 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed LearningProceedings of the IEEE (Proc. IEEE), 2022 Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 183 60 0 18 Feb 2022
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated LearningIEEE Transactions on Parallel and Distributed Systems (TPDS), 2022 Zhilin Wang Qin Hu Ruinian Li Minghui Xu Zehui Xiong FedML 165 67 0 18 Feb 2022
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A SurveyIEEE Wireless Communications and Networking Conference (WCNC), 2022 Zhilin Wang Qiao Kang Xinyi Zhang Qin Hu AAML FedML 128 23 0 13 Feb 2022
Jamming Attacks on Federated Learning in Wireless Networks Yi Shi Y. Sagduyu 121 14 0 13 Jan 2022
Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation Jiang Zhang Lillian Clark Matthew A. Clark Konstantinos Psounis Peter Kairouz 133 6 0 13 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 147 12 0 19 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 221 11 0 10 Dec 2021
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning Z. Bilgin FedML AAML 58 1 0 29 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road aheadInformation Fusion (Inf. Fusion), 2021 Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 94 95 0 26 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and ChallengesIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021 Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 120 82 0 14 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated LearningIEEE Access (IEEE Access), 2021 Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 172 55 0 09 Nov 2021
FedLess: Secure and Scalable Federated Learning Using Serverless Computing Andreas Grafberger Mohak Chadha Anshul Jindal Jianfeng Gu Michael Gerndt 145 53 0 05 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation SetupsItalian National Conference on Sensors (INS), 2021 A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 104 15 0 05 Nov 2021
Towards Fairness-Aware Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Yuxin Shi Han Yu Cyril Leung FedML 146 101 0 02 Nov 2021
DistFL: Distribution-aware Federated Learning for Mobile ScenariosProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2021 Bingyan Liu Y. Cai Ziqi Zhang Yan Liang Leye Wang Ding Li Yao Guo Xiangqun Chen OOD FedML 82 10 0 22 Oct 2021
Dataset Condensation with Distribution MatchingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Bo Zhao Hakan Bilen DD 215 362 0 08 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions T. G. Quoc-Viet Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Sharnil Pandya Madhusanka Liyanage Wei Wang Thanh Thi Nguyen FedML AI4CE 192 46 0 08 Oct 2021
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems Shimaa A. Naser Lina Bariah Sami Muhaidat Mahmoud Al-Qutayri Ernesto Damiani Merouane Debbah P. C. Sofotasios 109 24 0 07 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs B. Soret L. Nguyen J. Seeger Arne Bröring Chaouki Ben Issaid S. Samarakoon Anis El Gabli V. Kulkarni M. Bennis P. Popovski 134 15 0 04 Oct 2021
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering Jian Xu Shao-Lun Huang Linqi Song Tian-Shing Lan FedML AAML 124 65 0 13 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 263 298 0 09 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open ChallengesIntelligence & Robotics (IR), 2021 Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 129 181 0 26 Aug 2021