Eliminating Label Leakage in Tree-Based Vertical Federated Learning

Eliminating Label Leakage in Tree-Based Vertical Federated Learning

19 July 2023

Hideaki Takahashi

Yang Liu

Papers citing "Eliminating Label Leakage in Tree-Based Vertical Federated Learning"

7 / 7 papers shown

Title
Residue-based Label Protection Mechanisms in Vertical Logistic Regression Juntao Tan Lan Zhang Yang Liu Anran Li Yeshu Wu FedML AAML 26 12 0 09 May 2022
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 61 148 0 11 Feb 2021
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian Liu K. Ren Jian Liu Kui Ren FedML AI4CE 69 66 0 05 Nov 2020
Modelling and Quantifying Membership Information Leakage in Machine Learning F. Farokhi M. Kâafar AAML FedML MIACV 68 24 0 29 Jan 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 74 8,807 0 25 Aug 2017
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy A. Beimel Kobbi Nissim Uri Stemmer 49 194 0 10 Jul 2014
Differential Privacy: on the trade-off between Utility and Information Leakage Mário S. Alvim M. Andrés K. Chatzikokolakis P. Degano C. Palamidessi 62 145 0 27 Mar 2011