Threats to Federated Learning: A Survey

4 March 2020

Papers citing "Threats to Federated Learning: A Survey"

43 / 193 papers shown

Title
A Vertical Federated Learning Framework for Graph Convolutional Network Xiang Ni Xiaolong Xu Lingjuan Lyu Changhua Meng Weiqiang Wang FedML 61 37 0 22 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 100 815 0 12 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 104 65 0 10 Jun 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities Jiahui Geng Neel Kanwal M. Jaatun Chunming Rong 62 19 0 18 May 2021
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness Lingjuan Lyu FedML AAML 55 20 0 11 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 142 262 0 29 Apr 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 70 12 0 21 Apr 2021
Natural Language Understanding with Privacy-Preserving BERT Chen Qu Weize Kong Liu Yang Mingyang Zhang Michael Bendersky Marc Najork 97 76 0 15 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 118 446 0 14 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 339 883 0 01 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 156 78 0 25 Feb 2021
Learner-Private Convex Optimization Jiaming Xu Kuang Xu Dana Yang FedML 76 2 0 23 Feb 2021
Proactive DP: A Multple Target Optimization Framework for DP-SGD Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Phuong Ha Nguyen 41 0 0 17 Feb 2021
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 192 140 0 17 Feb 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation Ranwa Al Mallah David López Godwin Badu-Marfo Bilal Farooq AAML 101 39 0 24 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 73 29 0 14 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 131 52 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 73 206 0 04 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven Zaid Al-Ars FedML 109 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 108 23 0 31 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild Basel Alomair Aleksander Madry Yue Liu Tom Goldstein SILM 129 282 0 18 Dec 2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg Yuhao Zhou Qing Ye Jiancheng Lv FedML 61 127 0 12 Dec 2020
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT J. Li Lingjuan Lyu X. Liu X. Zhang X. Lyu 74 115 0 11 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 331 375 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 97 24 0 01 Dec 2020
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 122 70 0 20 Nov 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 100 560 0 03 Oct 2020
Towards Bidirectional Protection in Federated Learning Lun Wang Qi Pang Shuai Wang Basel Alomair FedML 81 3 0 02 Oct 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 107 107 0 11 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 122 149 0 08 Sep 2020
Collaborative Fairness in Federated Learning Lingjuan Lyu Xinyi Xu Qian Wang FedML 77 194 0 27 Aug 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 90 146 0 09 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 102 164 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 142 84 0 22 Jul 2020
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning Lingjuan Lyu Yitong Li Karthik Nandakumar Jiangshan Yu Xingjun Ma FedML 55 52 0 18 Jul 2020
Towards Differentially Private Text Representations Lingjuan Lyu Yitong Li Xuanli He Tong Xiao 72 39 0 25 Jun 2020
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period Shuheng Shen Yifei Cheng Jingchang Liu Linli Xu LRM 70 7 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 83 17 0 27 May 2020
Local Differential Privacy based Federated Learning for Internet of Things Yang Zhao Jun Zhao Mengmeng Yang Teng Wang Ning Wang Lingjuan Lyu Dusit Niyato Kwok-Yan Lam 95 303 0 19 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 93 51 0 01 Apr 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 122 569 0 06 Jan 2020
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,013 0 23 Jul 2019
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices Yang Zhao Jun Zhao Linshan Jiang Rui Tan Dusit Niyato Zengxiang Li Lingjuan Lyu Yingbo Liu 77 105 0 26 Jun 2019