Full Citation

Title: Differential privacy in the 2020 US census: what will it do? Quantifying the accuracy/privacy tradeoff

Citation Type: Journal Article

Publication Year: 2019

ISBN:

ISSN: 2572-4754

DOI: 10.12688/gatesopenres.13089.1

NSFID:

PMCID:

PMID:

Abstract: Background: The 2020 US Census will use a novel approach to disclosure avoidance to protect respondents’ data, called TopDown. This TopDown algorithm was applied to the 2018 end-to-end (E2E) test of the decennial census. The computer code used for this test as well as accompanying exposition has recently been released publicly by the Census Bureau.

Url: https://gatesopenresearch.org/articles/3-1722

Url: https://gatesopenresearch.org/articles/3-1722/v1

Url: https://gatesopenresearch.org/articles/3-1722/v1?src=rss

User Submitted?: No

Authors: Petti, Samantha; Flaxman, Abraham

Periodical (Full): Gates Open Research

Issue:

Volume: 3

Pages: 1722

Data Collections: IPUMS USA

Topics: Other, Population Data Science

Countries: United States