In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning

22 September 2022

Papers citing "In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning"

4 / 4 papers shown

Title
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FedML FaML 17 8 0 17 Feb 2023
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition Chao-Han Huck Yang Jun Qi Sabato Marco Siniscalchi Chin-Hui Lee 21 4 0 12 Oct 2022
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 62 57 0 09 Feb 2021
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,247 0 09 Jun 2011