Sciweavers

7 search results - page 1 / 2
» Our Data, Ourselves: Privacy Via Distributed Noise Generatio...
Sort
View
EUROCRYPT
2006
Springer
13 years 10 months ago
Our Data, Ourselves: Privacy Via Distributed Noise Generation
In this work we provide efficient distributed protocols for generating shares of random noise, secure against malicious participants. The purpose of the noise generation is to crea...
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSher...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 7 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
STOC
2009
ACM
167views Algorithms» more  STOC 2009»
14 years 7 months ago
Universally utility-maximizing privacy mechanisms
A mechanism for releasing information about a statistical database with sensitive data must resolve a trade-off between utility and privacy. Publishing fully accurate information ...
Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan
ICDE
2012
IEEE
202views Database» more  ICDE 2012»
11 years 9 months ago
Differentially Private Spatial Decompositions
— Differential privacy has recently emerged as the de facto standard for private data release. This makes it possible to provide strong theoretical guarantees on the privacy and ...
Graham Cormode, Cecilia M. Procopiuc, Divesh Sriva...
CSFW
2011
IEEE
12 years 6 months ago
Dynamic Enforcement of Knowledge-Based Security Policies
—This paper explores the idea of knowledge-based security policies, which are used to decide whether to answer queries over secret data based on an estimation of the querier’s ...
Piotr Mardziel, Stephen Magill, Michael Hicks, Mud...