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» iReduct: differential privacy with reduced relative errors
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SIGMOD
2011
ACM
283views Database» more  SIGMOD 2011»
12 years 7 months ago
iReduct: differential privacy with reduced relative errors
Prior work in differential privacy has produced techniques for answering aggregate queries over sensitive data in a privacypreserving way. These techniques achieve privacy by addi...
Xiaokui Xiao, Gabriel Bender, Michael Hay, Johanne...
PODS
2010
ACM
306views Database» more  PODS 2010»
13 years 9 months 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...
SCN
2008
Springer
166views Communications» more  SCN 2008»
13 years 4 months ago
Secure, pseudonymous, and auditable communication in vehicular ad hoc networks
Abstract-- Vehicular ad hoc networks (VANETs) represent a promising new communication technology that can facilitate many new forms of automotive applications. Many of the applicat...
Pandurang Kamat, Arati Baliga, Wade Trappe
COMGEO
1999
ACM
13 years 4 months ago
Optimal triangulation and quadric-based surface simplification
Many algorithms for reducing the number of triangles in a surface model have been proposed, but to date there has been little theoretical analysis of the approximations they produ...
Paul S. Heckbert, Michael Garland
FOCS
2010
IEEE
13 years 2 months ago
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
Abstract--We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual partici...
Moritz Hardt, Guy N. Rothblum