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Designing statistical privacy for your data

Publication ,  Journal Article
Machanavajjhala, A; Kifer, D
Published in: Communications of the ACM
March 1, 2015

Preparing data for public release requires significant attention to fundamental principles of privacy. If a privacy definition is chosen wisely by the data curator, the sensitive information will be protected. Algorithms that satisfy the spec are called privacy mechanisms. The curator first chooses a privacy definition, then a privacy mechanism satisfying the definition. The curator will run a privacy mechanism on the sensitive data, then grant external users access to the output of privacy mechanism or the sanitized output. The data curator must also consider the effect on privacy when the mechanisms do not satisfy the same privacy definition. One difficulty in designing privacy definitions is accounting for public knowledge of constraints the input database must satisfy. Constraints may correlate the values of different records, arising due to functional dependencies across attributes or prior exact releases of histograms. Correlations arising from constraints provide inference channels attackers could use to learn sensitive information.

Duke Scholars

Published In

Communications of the ACM

DOI

EISSN

1557-7317

ISSN

0001-0782

Publication Date

March 1, 2015

Volume

58

Issue

3

Start / End Page

58 / 67

Related Subject Headings

  • Information Systems
  • 46 Information and computing sciences
  • 08 Information and Computing Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Machanavajjhala, A., & Kifer, D. (2015). Designing statistical privacy for your data. Communications of the ACM, 58(3), 58–67. https://doi.org/10.1145/2660766
Machanavajjhala, A., and D. Kifer. “Designing statistical privacy for your data.” Communications of the ACM 58, no. 3 (March 1, 2015): 58–67. https://doi.org/10.1145/2660766.
Machanavajjhala A, Kifer D. Designing statistical privacy for your data. Communications of the ACM. 2015 Mar 1;58(3):58–67.
Machanavajjhala, A., and D. Kifer. “Designing statistical privacy for your data.” Communications of the ACM, vol. 58, no. 3, Mar. 2015, pp. 58–67. Scopus, doi:10.1145/2660766.
Machanavajjhala A, Kifer D. Designing statistical privacy for your data. Communications of the ACM. 2015 Mar 1;58(3):58–67.

Published In

Communications of the ACM

DOI

EISSN

1557-7317

ISSN

0001-0782

Publication Date

March 1, 2015

Volume

58

Issue

3

Start / End Page

58 / 67

Related Subject Headings

  • Information Systems
  • 46 Information and computing sciences
  • 08 Information and Computing Sciences