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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 3 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»
15 years 5 months 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 2 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»
15 years 5 months 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
PSD
2004
Springer
186views Database» more  PSD 2004»
15 years 4 months ago
Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
In an on-line statistical database, the query-answering system should prevent answers to statistical queries from leading to disclosure of confidential data. On the other hand, a s...
Francesco M. Malvestuto, Mauro Mezzini