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Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners

Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners

Rachel Redberg
Antti Koskela
Yu-Xiang Wang
ArXiv (abs)PDFHTML

Papers citing "Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners"

1 / 1 papers shown
Title
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
Clément Pierquin
A. Bellet
Marc Tommasi
Matthieu Boussard
MIACV
110
0
0
05 Jun 2025

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