Differential privacy for relational algebra: improving the sensitivity bounds via constraint systems

Abstract : Differential privacy is a modern approach in privacy-preserving data analysis to control the amount of information that can be inferred about an individual by querying a database. The most common techniques are based on the introduction of probabilistic noise, often defined as a Laplacian parametric on the sensitivity of the query. In order to maximize the utility of the query, it is crucial to estimate the sensitivity as precisely as possible. In this paper we consider relational algebra, the classical language for queries in relational databases, and we propose a method for computing a bound on the sensitivity of queries in an intuitive and compositional way. We use constraint-based techniques to accumulate the information on the possible values for attributes provided by the various components of the query, thus making it possible to compute tight bounds on the sensitivity.
Document type :
Conference papers
Wiklicky, Herbert and Massink, Mieke. QAPL - Tenth Workshop on Quantitative Aspects of Programming Languages, Apr 2012, Tallin, Estonia. Open Publishing Association, 85, pp.92-105, 2012, Electronic Proceedings in Theoretical Computer Science. <10.4204/EPTCS.85.7>


https://hal.inria.fr/hal-00760688
Contributor : Marco Stronati <>
Submitted on : Wednesday, December 5, 2012 - 11:22:15 AM
Last modification on : Wednesday, December 5, 2012 - 11:24:48 AM

File

paper.pdf
fileSource_public_greenPublisher

Identifiers

Collections

Citation

Catuscia Palamidessi, Marco Stronati. Differential privacy for relational algebra: improving the sensitivity bounds via constraint systems. Wiklicky, Herbert and Massink, Mieke. QAPL - Tenth Workshop on Quantitative Aspects of Programming Languages, Apr 2012, Tallin, Estonia. Open Publishing Association, 85, pp.92-105, 2012, Electronic Proceedings in Theoretical Computer Science. <10.4204/EPTCS.85.7>. <hal-00760688>

Export

Share

Metrics

Consultation de
la notice

106

Téléchargement du document

34