Differentially Private Statistical Inference through -Divergence One Posterior Sampling
JE Jewson, S Ghalebikesabi… - Advances in Neural …, 2023 - proceedings.neurips.cc
Differential privacy guarantees allow the results of a statistical analysis involving sensitive
data to be released without compromising the privacy of any individual taking part …
data to be released without compromising the privacy of any individual taking part …
Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression
We describe Bayesian inference for the mean and variance of bounded data protected by
differential privacy and modeled as Gaussian. Using this setting, we demonstrate that …
differential privacy and modeled as Gaussian. Using this setting, we demonstrate that …
Privacy Guarantees in Posterior Sampling under Contamination
In recent years, differential privacy has been adopted by tech-companies and governmental
agencies as the standard for measuring privacy in algorithms. We study the level of …
agencies as the standard for measuring privacy in algorithms. We study the level of …