In this paper we introduce a new and general privacy framework called Pufferfish. The Pufferfish framework can be used to create new privacy definitions that are customized t...
Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
The goal of a statistical database is to provide statistics about a population while simultaneously protecting the privacy of the individual records in the database. The tension be...
In this paper we explore the structure and semantic properties of the entities stored in statistical databases. We call such entities "statistical objects" (SOS) and prop...
Noise addition is a family of methods used in the protection of the privacy of individual data (microdata) in statistical databases. This paper is a critical analysis of the securi...