Threats to Federated Learning: A Survey

4 March 2020

Papers citing "Threats to Federated Learning: A Survey"

50 / 203 papers shown

Title
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Wanrong Zhu Xianzhi Wang Jing Jiang Chengqi Zhang FedML 189 299 0 19 Aug 2021
A Novel Attribute Reconstruction Attack in Federated Learning Lingjuan Lyu Chong Chen AAML 88 43 0 16 Aug 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 104 122 0 10 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 210 84 0 01 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 123 89 0 23 Jul 2021
Federated Learning Versus Classical Machine Learning: A Convergence Comparison Muhammad Asad Ahmed Moustafa Takayuki Ito FedML 94 46 0 22 Jul 2021
DeceFL: A Principled Decentralized Federated Learning FrameworkNational Science Open (NSO), 2021 Ye Yuan Jun Liu Dou Jin Zuogong Yue Ruijuan Chen ... Xinlei Yi Tao Yang Hai-Tao Zhang Shaochun Sui Han Ding FedML 89 13 0 15 Jul 2021
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy Yipeng Zhou Xuezheng Liu Yao Fu Di Wu Chao Li Shui Yu FedML 102 2 0 05 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 173 81 0 04 Jul 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data Paul Pu Liang Terrance Liu Anna Cai Michal Muszynski Ryo Ishii Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency 109 18 0 24 Jun 2021
A Vertical Federated Learning Framework for Graph Convolutional Network Xiang Ni Xiaolong Xu Lingjuan Lyu Changhua Meng Weiqiang Wang FedML 105 40 0 22 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 174 955 0 12 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant MatrixInternational Conference on Machine Learning (ICML), 2021 Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 137 69 0 10 Jun 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized IdentitiesInternational Conference on Evaluation & Assessment in Software Engineering (EASE), 2021 Fauzan Farooqui Neel Kanwal M. Jaatun Chunming Rong 103 20 0 18 May 2021
DP-SIGNSGD: When Efficiency Meets Privacy and RobustnessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Lingjuan Lyu FedML AAML 95 20 0 11 May 2021
From Distributed Machine Learning to Federated Learning: A SurveyKnowledge and Information Systems (KAIS), 2021 Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 212 292 0 29 Apr 2021
Turning Federated Learning Systems Into Covert ChannelsIEEE Access (IEEE Access), 2021 Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 120 15 0 21 Apr 2021
Natural Language Understanding with Privacy-Preserving BERTInternational Conference on Information and Knowledge Management (CIKM), 2021 Chen Qu Weize Kong Liu Yang Mingyang Zhang Michael Bendersky Marc Najork 115 82 0 15 Apr 2021
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 166 517 0 14 Mar 2021
Towards Personalized Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 473 1,005 0 01 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X LearningInternational Journal of Machine Learning and Cybernetics (IJMLC), 2021 Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 298 95 0 25 Feb 2021
Learner-Private Convex OptimizationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021 Jiaming Xu Kuang Xu Dana Yang FedML 108 2 0 23 Feb 2021
Proactive DP: A Multple Target Optimization Framework for DP-SGDInternational Conference on Machine Learning (ICML), 2021 Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Phuong Ha Nguyen 264 0 0 17 Feb 2021
Label Leakage and Protection in Two-party Split LearningInternational Conference on Learning Representations (ICLR), 2021 Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 255 160 0 17 Feb 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationIEEE Access (IEEE Access), 2021 Ranwa Al Mallah David López Godwin Badu-Marfo Bilal Farooq AAML 152 44 0 24 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data SourcesACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021 Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 112 33 0 14 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile RobotsInternational Conference on Machine Learning and Applications (ICMLA), 2020 Ahmed Imteaj M. Amini 152 57 0 11 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey S. Priya Praveen Kumar Quoc-Viet Pham Kapal Dev Reddy Maddikunta Thippa Reddy Thien Huynh-The AI4CE 93 222 0 04 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven Zaid Al-Ars FedML 155 15 0 01 Jan 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 170 26 0 31 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and DefensesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild Basel Alomair Aleksander Madry Yue Liu Tom Goldstein SILM 221 327 0 18 Dec 2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvgIEEE Transactions on Parallel and Distributed Systems (TPDS), 2020 Yuhao Zhou Qing Ye Jiancheng Lv FedML 138 153 0 12 Dec 2020
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoTIEEE Transactions on Industrial Informatics (IEEE TII), 2020 J. Li Lingjuan Lyu X. Liu X. Zhang X. Lyu 144 130 0 11 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Jiabo He Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 399 429 0 07 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 135 29 0 01 Dec 2020
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 142 80 0 20 Nov 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous ClientsInternational Conference on Learning Representations (ICLR), 2020 Enmao Diao Jie Ding Vahid Tarokh FedML 276 612 0 03 Oct 2020
Towards Bidirectional Protection in Federated Learning Lun Wang Qi Pang Shuai Wang Basel Alomair FedML 153 3 0 02 Oct 2020
Federated Model Distillation with Noise-Free Differential PrivacyInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Lichao Sun Lingjuan Lyu FedML 151 116 0 11 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated LearningNetwork and Distributed System Security Symposium (NDSS), 2020 Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 206 174 0 08 Sep 2020
Collaborative Fairness in Federated Learning Lingjuan Lyu Xinyi Xu Qian Wang FedML 106 208 0 27 Aug 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 171 165 0 09 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and ApplicationsProceedings of the IEEE (Proc. IEEE), 2020 Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 181 169 0 06 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 392 88 0 22 Jul 2020
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep LearningIEEE Transactions on Dependable and Secure Computing (TDSC), 2020 Lingjuan Lyu Yitong Li Karthik Nandakumar Jiangshan Yu Jiabo He FedML 81 54 0 18 Jul 2020
Towards Differentially Private Text RepresentationsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Lingjuan Lyu Yitong Li Xuanli He Tong Xiao 113 41 0 25 Jun 2020
STL-SGD: Speeding Up Local SGD with Stagewise Communication PeriodAAAI Conference on Artificial Intelligence (AAAI), 2020 Shuheng Shen Yifei Cheng Jingchang Liu Linli Xu LRM 124 11 0 11 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 198 17 0 27 May 2020
Local Differential Privacy based Federated Learning for Internet of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2020 Yang Zhao Jun Zhao Mengmeng Yang Teng Wang Ning Wang Lingjuan Lyu Dusit Niyato Kwok-Yan Lam 173 337 0 19 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 113 56 0 01 Apr 2020