Differential privacy and federal data releases
Publication
, Journal Article
Reiter, JP
Published in: Annual Review of Statistics and Its Application
March 7, 2019
Federal statistics agencies strive to release data products that are informative for many purposes, yet also protect the privacy and confidentiality of data subjects' identities and sensitive attributes. This article reviews the role that differential privacy, a disclosure risk criterion developed in the cryptography community, can and does play in federal data releases. The article describes potential benefits and limitations of using differential privacy for federal data, reviews current federal data products that satisfy differential privacy, and outlines research needed for adoption of differential privacy to become widespread among federal agencies.
Duke Scholars
Published In
Annual Review of Statistics and Its Application
DOI
EISSN
2326-831X
ISSN
2326-8298
Publication Date
March 7, 2019
Volume
6
Start / End Page
85 / 101
Related Subject Headings
- 4905 Statistics
- 0104 Statistics
- 0103 Numerical and Computational Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Reiter, J. P. (2019). Differential privacy and federal data releases. Annual Review of Statistics and Its Application, 6, 85–101. https://doi.org/10.1146/annurev-statistics-030718-105142
Reiter, J. P. “Differential privacy and federal data releases.” Annual Review of Statistics and Its Application 6 (March 7, 2019): 85–101. https://doi.org/10.1146/annurev-statistics-030718-105142.
Reiter JP. Differential privacy and federal data releases. Annual Review of Statistics and Its Application. 2019 Mar 7;6:85–101.
Reiter, J. P. “Differential privacy and federal data releases.” Annual Review of Statistics and Its Application, vol. 6, Mar. 2019, pp. 85–101. Scopus, doi:10.1146/annurev-statistics-030718-105142.
Reiter JP. Differential privacy and federal data releases. Annual Review of Statistics and Its Application. 2019 Mar 7;6:85–101.
Published In
Annual Review of Statistics and Its Application
DOI
EISSN
2326-831X
ISSN
2326-8298
Publication Date
March 7, 2019
Volume
6
Start / End Page
85 / 101
Related Subject Headings
- 4905 Statistics
- 0104 Statistics
- 0103 Numerical and Computational Mathematics