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CAFE: Catastrophic Data Leakage in Vertical Federated Learning

26 October 2021

Tianyi Chen

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Papers citing "CAFE: Catastrophic Data Leakage in Vertical Federated Learning"

29 / 79 papers shown

Title
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos D. Gupta Ali Etemad PICV 94 4 0 01 Jun 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning Junyi Zhu Ruicong Yao Matthew B. Blaschko FedML 113 11 0 31 May 2023
Secure Vertical Federated Learning Under Unreliable Connectivity Xinchi Qiu Heng Pan Wanru Zhao Yan Gao Pedro Gusmão William F. Shen Chenyang Ma Nicholas D. Lane FedML 118 3 0 26 May 2023
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables Yifeng Zheng Shuangqing Xu Songlei Wang Yan Gao Zhongyun Hua FedML 143 14 0 22 May 2023
Efficient Vertical Federated Learning with Secure Aggregation Xinchi Qiu Heng Pan Wanru Zhao Chenyang Ma Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 93 3 0 18 May 2023
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information Lin Duan Jingwei Sun Yiran Chen M. Gorlatova 65 5 0 17 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li Duanyi Yao Jin Liu FedML 195 37 0 26 Apr 2023
BadVFL: Backdoor Attacks in Vertical Federated Learning Mohammad Naseri Yufei Han Emiliano De Cristofaro FedML AAML 142 17 0 18 Apr 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties Jingwei Sun Zhixu Du Anna Dai Saleh Baghersalimi Alireza Amirshahi David Atienza Yiran Chen FedML 92 8 0 28 Mar 2023
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids Arwa Alromih John A. Clark P. Gope 81 3 0 23 Mar 2023
Bounding Training Data Reconstruction in DP-SGD Jamie Hayes Saeed Mahloujifar Borja Balle AAML FedML 165 51 0 14 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 145 14 0 03 Feb 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Lixin Fan Qiang Yang FedML 122 15 0 30 Jan 2023
Mutual Information Regularization for Vertical Federated Learning Tianyuan Zou Yang Liu Ya-Qin Zhang AAML FedML 107 7 0 01 Jan 2023
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 270 217 0 23 Nov 2022
Differentially Private Vertical Federated Learning Thilina Ranbaduge Ming Ding FedML 92 15 0 13 Nov 2022
TabLeak: Tabular Data Leakage in Federated Learning Mark Vero Mislav Balunović Dimitar I. Dimitrov Martin Vechev FedML 101 11 0 04 Oct 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 133 8 0 28 Jul 2022
Multi-party Secure Broad Learning System for Privacy Preserving Xiaolin Cao Changdong Wang Jianchang Lai Qiong Huang C.L.Philip Chen 45 22 0 22 Jun 2022
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes? Huiyu Li N. Ayache H. Delingette MIACV 67 3 0 07 Jun 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 138 26 0 07 Apr 2022
GradViT: Gradient Inversion of Vision Transformers Ali Hatamizadeh Hongxu Yin H. Roth Wenqi Li Jan Kautz Daguang Xu Pavlo Molchanov ViT 211 73 0 22 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 128 58 0 18 Feb 2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction Chuhan Wu Fangzhao Wu Tao Qi Yanlin Wang Yuqing Yang Yongfeng Huang Xing Xie FedML 95 1 0 10 Feb 2022
Vertical Federated Learning: Challenges, Methodologies and Experiments Kang Wei Jun Li Chuan Ma Ming Ding Sha Wei Fan Wu Guihai Chen Thilina Ranbaduge FedML 100 102 0 09 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 117 252 0 20 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 127 12 0 19 Dec 2021
Burn After Reading: Online Adaptation for Cross-domain Streaming Data Luyu Yang M. Gao Zeyuan Chen Ran Xu Abhinav Shrivastava Chetan Ramaiah 83 4 0 08 Dec 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 226 89 0 25 Feb 2021