7 citations · 11 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
The Test of Tests: A Framework For Differentially Private Hypothesis Testing
Zeki Kazan, Kaiyan Shi, Adam Groce +1
We present a generic framework for creating differentially private versions of any hypothesis test in a black-box way. We analyze the resulting tests analytically and experimentall…
Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, with Application to the 2020 U.S. Decennial Census
Zeki Kazan, Jerome Reiter
We propose Bayesian methods to assess the statistical disclosure risk of data released under zero-concentrated differential privacy, focusing on settings with a strong hierarchical…
Differentially Private Nonparametric Hypothesis Testing
Simon Couch, Zeki Kazan, Kaiyan Shi +2
Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields. Here we study differentially private tests of independe…