Defending against Reconstruction Attack in Vertical Federated Learning

21 July 2021

Papers citing "Defending against Reconstruction Attack in Vertical Federated Learning"

23 / 23 papers shown

Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 46 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 88 0 0 16 Dec 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 78 3 0 25 May 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 39 5 0 03 May 2024
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT Heqiang Wang Jieming Bian Lei Wang Jia Zhou Weihong Yang Xiaoxiong Zhong FedML 37 0 0 30 Mar 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 26 3 0 18 Dec 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Liu Ya-Qin Zhang FedML 38 5 0 15 Oct 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 35 28 0 04 Apr 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 36 14 0 22 Feb 2023
Label Inference Attack against Split Learning under Regression Setting Shangyu Xie Xin Yang Yuanshun Yao Tianyi Liu Taiqing Wang Jiankai Sun FedML 26 9 0 18 Jan 2023
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 50 10 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 30 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 57 161 0 23 Nov 2022
Differentially Private Vertical Federated Learning Thilina Ranbaduge Ming Ding FedML 18 13 0 13 Nov 2022
DPAUC: Differentially Private AUC Computation in Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 42 11 0 25 Aug 2022
Differentially Private AUC Computation in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 53 5 0 24 May 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 36 37 0 02 Mar 2022
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 44 11 0 10 Dec 2021
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 144 420 0 29 Nov 2018
A fast algorithm for computing distance correlation A. Chaudhuri Wenhao Hu 44 65 0 26 Oct 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018