Statistically Valid Inferences from Differentially Private Data Releases, II: Extensions to Nonlinear Transformations
Georgina Evans, Gary King. 2025.
"Statistically Valid Inferences from Differentially Private Data Releases, II: Extensions to Nonlinear Transformations".
Abstract
We extend Evans and King (Forthcoming, 2021) to nonlinear transformations, using proportions and weighted averages as our running examples.
See Also
- [Paper] Differentially Private Survey Research (2024)
- [Paper] Letter to US Census Bureau: 'Request for Release of 'noisy Measurements File' by September 30 Along With Redistricting Data Products' (2021)
- [Paper] Statistically Valid Inferences from Differentially Private Data Releases, With Application to the Facebook URLs Dataset (2023)
- [Paper] Statistically Valid Inferences from Privacy Protected Data (2023)
- [Paper] There's a Simple Solution to the Latest Census Fight (2021)
- [Paper] Evaluating the Impacts of Swapping on the US Decennial Census (2025)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Pew Research Center) (2025)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Stat188, Harvard University) (2024)