Label Leakage and Protection from Forward Embedding in Vertical Federated Learning

2 March 2022

Xin Yang

Papers citing "Label Leakage and Protection from Forward Embedding in Vertical Federated Learning"

28 / 28 papers shown

Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 36 0 0 14 Apr 2025
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Andrei Semenov Philip Zmushko Alexander Pichugin Aleksandr Beznosikov 79 0 0 16 Dec 2024
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation Ying He Mingyang Niu Jingyu Hua Yunlong Mao Xu Huang Chen Li Sheng Zhong FedML 35 0 0 27 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 70 3 0 25 May 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 58 9 0 06 Feb 2024
Online Vertical Federated Learning for Cooperative Spectrum Sensing Heqiang Wang Jie Xu 11 3 0 18 Dec 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Janet Liu Ya-Qin Zhang FedML 30 5 0 15 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 23 4 0 30 Sep 2023
Defending Label Inference Attacks in Split Learning under Regression Setting Haoze Qiu Fei Zheng Chaochao Chen Xiaolin Zheng FedML AAML 21 2 0 18 Aug 2023
Eliminating Label Leakage in Tree-Based Vertical Federated Learning Hideaki Takahashi J. Liu Yang Liu AAML FedML 24 5 0 19 Jul 2023
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization Ganyu Wang Qingsong Zhang Li Xiang Boyu Wang Bin Gu Charles X. Ling FedML 22 2 0 28 Jun 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 20 3 0 26 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 24 12 0 15 May 2023
A Survey on Vertical Federated Learning: From a Layered Perspective Liu Yang Di Chai Junxue Zhang Yilun Jin Leye Wang Hao Liu Han Tian Qian Xu Kai Chen FedML 30 27 0 04 Apr 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Jingwei Sun Ziyue Xu Dong Yang V. Nath Wenqi Li Can Zhao Daguang Xu Yiran Chen H. Roth FedML 26 14 0 28 Mar 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 17 0 0 04 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 26 10 0 03 Feb 2023
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 30 9 0 01 Dec 2022
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning Pengyu Qiu Xuhong Zhang S. Ji Chong Fu Xing Yang Ting Wang FedML AAML 9 12 0 01 Dec 2022
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 33 160 0 23 Nov 2022
Protecting Split Learning by Potential Energy Loss Fei Zheng Chaochao Chen Lingjuan Lyu Xinyi Fu Xing Fu Weiqiang Wang Xiaolin Zheng Jianwei Yin 30 4 0 18 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 34 14 0 30 Sep 2022
VFed-SSD: Towards Practical Vertical Federated Advertising Wenjie Li Qiaolin Xia Junfeng Deng Hao Cheng Jiangming Liu Kouying Xue Yong Cheng Shutao Xia FedML 20 6 0 31 May 2022
Does Label Differential Privacy Prevent Label Inference Attacks? Ruihan Wu Jinfu Zhou Kilian Q. Weinberger Chuan Guo 13 15 0 25 Feb 2022
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 122 139 0 17 Feb 2021
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 136 420 0 29 Nov 2018
A fast algorithm for computing distance correlation A. Chaudhuri Wenhao Hu 26 66 0 26 Oct 2018
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 164 2,575 0 28 Mar 2008