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» Differential privacy in data publication and analysis
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SODA
2010
ACM
171views Algorithms» more  SODA 2010»
13 years 3 months ago
Differential Privacy in New Settings
Differential privacy is a recent notion of privacy tailored to the problem of statistical disclosure control: how to release statistical information about a set of people without ...
Cynthia Dwork
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 5 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
ICDE
2010
IEEE
214views Database» more  ICDE 2010»
14 years 5 months ago
Differential Privacy via Wavelet Transforms
Privacy preserving data publishing has attracted considerable research interest in recent years. Among the existing solutions, -differential privacy provides one of the strongest p...
Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
FOCS
2010
IEEE
13 years 3 months ago
The Limits of Two-Party Differential Privacy
We study differential privacy in a distributed setting where two parties would like to perform analysis of their joint data while preserving privacy for both datasets. Our results ...
Andrew McGregor, Ilya Mironov, Toniann Pitassi, Om...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 7 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal