PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC)
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909598918639616 |
|---|---|
| author | Sexton, William Berghel, Skye Carlson, Bayard Haney, Sam Hartman, Luke Hay, Michael Machanavajjhala, Ashwin Miklau, Gerome Pai, Amritha Rajpal, Simran Pujol, David Shrestha, Ruchit Simmons-Marengo, Daniel |
| author_facet | Sexton, William Berghel, Skye Carlson, Bayard Haney, Sam Hartman, Luke Hay, Michael Machanavajjhala, Ashwin Miklau, Gerome Pai, Amritha Rajpal, Simran Pujol, David Shrestha, Ruchit Simmons-Marengo, Daniel |
| contents | This article describes the disclosure avoidance algorithm that the U.S. Census Bureau used to protect the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC). The tabulations contain statistics of counts of U.S. persons living in certain types of households, including averages. The article describes the PHSafe algorithm, which is based on adding noise drawn from a discrete Gaussian distribution to the statistics of interest. We prove that the algorithm satisfies a well-studied variant of differential privacy, called zero-concentrated differential privacy. We then describe how the algorithm was implemented on Tumult Analytics and briefly outline the parameterization and tuning of the algorithm. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_01254 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC) Sexton, William Berghel, Skye Carlson, Bayard Haney, Sam Hartman, Luke Hay, Michael Machanavajjhala, Ashwin Miklau, Gerome Pai, Amritha Rajpal, Simran Pujol, David Shrestha, Ruchit Simmons-Marengo, Daniel Cryptography and Security Computers and Society This article describes the disclosure avoidance algorithm that the U.S. Census Bureau used to protect the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC). The tabulations contain statistics of counts of U.S. persons living in certain types of households, including averages. The article describes the PHSafe algorithm, which is based on adding noise drawn from a discrete Gaussian distribution to the statistics of interest. We prove that the algorithm satisfies a well-studied variant of differential privacy, called zero-concentrated differential privacy. We then describe how the algorithm was implemented on Tumult Analytics and briefly outline the parameterization and tuning of the algorithm. |
| title | PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC) |
| topic | Cryptography and Security Computers and Society |
| url | https://arxiv.org/abs/2505.01254 |