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CIDR
2007
79views Algorithms» more  CIDR 2007»
15 years 7 months ago
Beyond Just Data Privacy
We argue that designing a system that “guarantees” the privacy of its information may not be enough. One must also consider the price for providing that protection: For exampl...
Bob Mungamuru, Hector Garcia-Molina
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 10 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
ICDM
2006
IEEE
169views Data Mining» more  ICDM 2006»
16 years 5 days ago
Privacy-Preserving Data Imputation
In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacypreserving protocol for filling in missing values using a lazy deci...
Geetha Jagannathan, Rebecca N. Wright
EUROCRYPT
2006
Springer
15 years 9 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...
PKDD
2007
Springer
214views Data Mining» more  PKDD 2007»
16 years 7 days ago
Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
Abstract. Analysis of privacy-sensitive data in a multi-party environment often assumes that the parties are well-behaved and they abide by the protocols. Parties compute whatever ...
Hillol Kargupta, Kamalika Das, Kun Liu