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PODS
2012
ACM
244views Database» more  PODS 2012»
10 years 8 months ago
A rigorous and customizable framework for privacy
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...
Daniel Kifer, Ashwin Machanavajjhala
SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
11 years 8 months ago
No free lunch in data privacy
Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
Daniel Kifer, Ashwin Machanavajjhala
CRYPTO
2008
Springer
75views Cryptology» more  CRYPTO 2008»
12 years 7 months ago
New Efficient Attacks on Statistical Disclosure Control Mechanisms
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...
Cynthia Dwork, Sergey Yekhanin
SSDBM
1990
IEEE
89views Database» more  SSDBM 1990»
12 years 10 months ago
STORM: A Statistical Object Representation Model
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...
Maurizio Rafanelli, Arie Shoshani
PSD
2004
Springer
94views Database» more  PSD 2004»
12 years 11 months ago
On the Security of Noise Addition for Privacy in Statistical Databases
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...
Josep Domingo-Ferrer, Francesc Sebé, Jordi ...
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