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DGO
2004
114views Education» more  DGO 2004»
13 years 6 months ago
Regression on Distributed Databases via Secure Multi-Party Computation
Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerom...
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 5 months ago
Privacy preserving regression modelling via distributed computation
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerom...
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
13 years 11 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
CCS
2008
ACM
13 years 6 months ago
Assessing query privileges via safe and efficient permission composition
We propose an approach for the selective enforcement of access control restrictions in, possibly distributed, large data collections based on two basic concepts: i) flexible autho...
Sabrina De Capitani di Vimercati, Sara Foresti, Su...
EUROCRYPT
2006
Springer
13 years 8 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...