2 papers
stat.ME2026
Setting the Privacy Budget in Differential Privacy by Bounding Adversaries' Odds of Learning Sensitive Information
Ruwimal Y. Pathiraja, Jerome P. Reiter
Differential privacy is a mathematical definition of what it means to protect data subjects' privacy in data releases. Differential privacy depends on a parameter known as the…
stat.ME2024
Bayesian Inference Under Differential Privacy With Bounded Data
Zeki Kazan, Jerome P. Reiter
We describe Bayesian inference for the parameters of Gaussian models of bounded data protected by differential privacy. Using this setting, we demonstrate that analysts can and sho…