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» A Clustering Approach for Achieving Data Privacy
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DMIN
2007
85views Data Mining» more  DMIN 2007»
13 years 6 months ago
A Clustering Approach for Achieving Data Privacy
Abstract — New privacy regulations together with everincreasing data availability and computational power have created a huge interest in data privacy research. One major researc...
Alina Campan, Traian Marius Truta, John Miller, Ra...
SDMW
2004
Springer
13 years 10 months ago
Achieving Privacy Preservation when Sharing Data for Clustering
Abstract. In this paper, we address the problem of protecting the underlying attribute values when sharing data for clustering. The challenge is how to meet privacy requirements an...
Stanley R. M. Oliveira, Osmar R. Zaïane
DAWAK
2006
Springer
13 years 8 months ago
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
DBSEC
2009
112views Database» more  DBSEC 2009»
13 years 6 months ago
Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers
There is an increasing need for sharing data repositories containing personal information across multiple distributed and private databases. However, such data sharing is subject t...
Pawel Jurczyk, Li Xiong
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
14 years 5 months ago
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
Cynthia Dwork