Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

12

SODA
2010
ACM

favoriteEmaildiscussreport

171views Algorithms» more SODA 2010»

Differential Privacy in New Settings

13 years 2 months ago

Differential Privacy in New Settings

Download research.microsoft.com

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 compromising the the privacy of any individual [7]. We describe new work [10, 9] that extends differentially private data analysis beyond the traditional setting of a trusted curator operating, in perfect isolation, on a static dataset. We ask

Cynthia Dwork

Real-time Traffic

Algorithms | Private Data Analysis | SODA 2010 | Static Dataset | Statistical Disclosure Control |

claim paper

Related Content

» Mechanism Design via Differential Privacy

» Optimizing linear counting queries under differential privacy

» A Practical Differentially Private Random Decision Tree Classifier

» A Multiplicative Weights Mechanism for PrivacyPreserving Data Analysis

» Differentially Private Spatial Decompositions

» New covert channels in HTTP adding unwitting Web browsers to anonymity sets

» Differential Privacy and the FatShattering Dimension of Linear Queries

» The Limits of TwoParty Differential Privacy

» An Adaptive Mechanism for Accurate Query Answering under Differential Privacy

Post Info
More Details (n/a)

Added	15 Feb 2011
Updated	15 Feb 2011
Type	Journal
Year	2010
Where	SODA
Authors	Cynthia Dwork

Comments (0)