Differential Privacy for Relational Algebra: Improving the Sensitivity Bounds via Constraint Systems

@inproceedings{Palamidessi2012DifferentialPF,
  title={Differential Privacy for Relational Algebra: Improving the Sensitivity Bounds via Constraint Systems},
  author={Catuscia Palamidessi and Marco Stronati},
  booktitle={QAPL},
  year={2012}
}
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… CONTINUE READING
Highly Cited
This paper has 18 citations. REVIEW CITATIONS