7 citations · 11 across the 10 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
stat.ME2023
Differentially Private Linear Regression with Linked Data
Shurong Lin, Elliot Paquette, Eric D. Kolaczyk
There has been increasing demand for establishing privacy-preserving methodologies for modern statistics and machine learning. Differential privacy, a mathematical notion from comp…
stat.ME2023★ 7 cited
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
Shurong Lin, Mark Bun, Marco Gaboardi +2
Confidence intervals are a fundamental tool for quantifying the uncertainty of parameters of interest. With the increase of data privacy awareness, developing a private version of…