JSM2023
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Topic-Contributed Paper Session

Getting the Utility Out of Privatized Data

Wed, Aug 9, 2:00 PM
Daniell TothOrganizerMichael HawesChair
Survey Research Methods Section

5 Presentations

Simulation-based, Finite-sample Inference for Privatized Data
2:05 PM - 2:25 PM
Jordan Awan (Purdue University)
Co-authors: Zhanyu Wang
Nonparametric Modeling of an Economic Measure Using Top-coded Household Expenditure Survey Data
2:25 PM - 2:45 PM
Daniel Yang (Bureau of Labor Statistics)
Zero-Concentrated Differential Privacy for Natural Exponential Families
2:45 PM - 3:05 PM
Soumya Mukherjee
Co-authors: Aratrika Mustafi (Pennsylvania State University), Matthew Reimherr (Penn State), Aleksandra Slavkovic (Pennsylvania State University)
WITHDRAWN Formal Privacy for Establishment Statistics
3:05 PM - 3:25 PM
Co-authors: Daniell Toth (US Bureau of Labor Statistics), Scott Holan (University of Missouri/U.S. Census Bureau), Zhenhua Wang
Traversing the Hypercube: An Efficient Algorithm for the Cell Suppression Problem
3:25 PM - 3:45 PM
Elan Segarra (US Bureau of Labor Statistics)
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