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» Differential privacy and robust statistics
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STOC
2009
ACM
145views Algorithms» more  STOC 2009»
14 years 8 months ago
Differential privacy and robust statistics
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...
Cynthia Dwork, Jing Lei
PODS
2010
ACM
306views Database» more  PODS 2010»
14 years 20 days ago
Optimizing linear counting queries under differential privacy
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Mikla...
SODA
2010
ACM
171views Algorithms» more  SODA 2010»
13 years 5 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
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 2 months ago
Differential Privacy for Clinical Trial Data: Preliminary Evaluations
—The concept of differential privacy as a rigorous definition of privacy has emerged from the cryptographic community. However, further careful evaluation is needed before we ca...
Duy Vu, Aleksandra Slavkovic
BMCBI
2011
12 years 11 months ago
Proportion statistics to detect differentially expressed genes: a comparison with log-ratio statistics
Background: In genetic transcription research, gene expression is typically reported in a test sample relative to a reference sample. Laboratory assays that measure gene expressio...
Tracy L. Bergemann, Jason Wilson