On the Intrinsic Differential Privacy of Bagging

22 August 2020

Papers citing "On the Intrinsic Differential Privacy of Bagging"

6 / 6 papers shown

Title
Trained Random Forests Completely Reveal your Dataset Julien Ferry Ricardo Fukasawa Timothée Pascal Thibaut Vidal AAML 37 6 0 29 Feb 2024
Personalized DP-SGD using Sampling Mechanisms Geon Heo Junseok Seo Steven Euijong Whang 30 2 0 24 May 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 108 167 0 01 Mar 2023
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 28 6 0 06 Dec 2022
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis Shigehiko Schamoni Michael Hagmann Stefan Riezler FedML 27 4 0 01 Sep 2022
Selective Ensembles for Consistent Predictions Emily Black Klas Leino Matt Fredrikson 20 21 0 16 Nov 2021