Differentially- and non-differentially-private random decision trees

v1v2 (latest)

Differentially- and non-differentially-private random decision trees

26 October 2014

Mariusz Bojarski

A. Choromańska

ArXiv (abs)PDF HTML

Papers citing "Differentially- and non-differentially-private random decision trees"

6 / 6 papers shown

Title
Differentially-Private Decision Trees and Provable Robustness to Data Poisoning D. Vos Jelle Vos Tianyu Li Z. Erkin S. Verwer FedML 40 1 0 24 May 2023
Private Multi-Winner Voting for Machine Learning Adam Dziedzic Christopher A. Choquette-Choo Natalie Dullerud Vinith Suriyakumar Ali Shahin Shamsabadi Muhammad Ahmad Kaleem S. Jha Nicolas Papernot Xiao Wang 102 1 0 23 Nov 2022
SoK: Privacy-Preserving Collaborative Tree-based Model Learning Sylvain Chatel Apostolos Pyrgelis J. Troncoso-Pastoriza Jean-Pierre Hubaux 73 15 0 16 Mar 2021
Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning Kai Wang Travis Dick Maria-Florina Balcan FedML 61 5 0 19 Dec 2020
Balance is key: Private median splits yield high-utility random trees Shorya Consul Sinead Williamson 75 2 0 15 Jun 2020
Wishart Mechanism for Differentially Private Principal Components Analysis Wuxuan Jiang Cong Xie Zhihua Zhang 66 65 0 18 Nov 2015