Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy

Main Article Content

Joshua Snoke
https://orcid.org/0000-0003-0906-4396
Claire McKay Bowen
https://orcid.org/0000-0002-1020-3181
Aaron R. Williams
https://orcid.org/0000-0001-5564-1938
Andrés F. Barrientos
https://orcid.org/0000-0001-8196-7229

Abstract

The authors discuss their experience applying differential privacy with a complex data set with the goal of enabling standard approaches to statistical data analysis. They highlight lessons learned and roadblocks encountered, distilling them into incompatibilities between current practices in statistical data analysis and differential privacy that go beyond issues which can be solved with a noisy measurements file. The authors discuss how overcoming these incompatibilities require compromise and a change in either our approach to statistical data analysis or differential privacy that should be addressed head-on.

Article Details

How to Cite
Snoke, Joshua, Claire McKay Bowen, Aaron R. Williams, and Andrés F. Barrientos. 2024. “Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy”. Journal of Privacy and Confidentiality 14 (3). https://doi.org/10.29012/jpc.872.
Section
NMW 2022

Funding data

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