41 citations · 42 across the 4 of their papers we have counts for
4 papers
Privately generating tabular data using language models
Alexandre Sablayrolles, Yue Wang, Brian Karrer
Privately generating synthetic data from a table is an important brick of a privacy-first world. We propose and investigate a simple approach of treating each row in a table as a s…
Differentially Private Kolmogorov-Smirnov-Type Tests
Jordan Awan, Yue Wang
Hypothesis testing is a central problem in statistical analysis, and there is currently a lack of differentially private tests which are both statistically valid and powerful. In t…
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
The process of data mining with differential privacy produces results that are affected by two types of noise: sampling noise due to data collection and privacy noise that is desig…
Revisiting Differentially Private Hypothesis Tests for Categorical Data
Yue Wang, Jaewoo Lee, Daniel Kifer
In this paper, we consider methods for performing hypothesis tests on data protected by a statistical disclosure control technology known as differential privacy. Previous approach…