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» A Condensation Approach to Privacy Preserving Data Mining
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SIGMOD
2005
ACM
128views Database» more  SIGMOD 2005»
14 years 9 months ago
Privacy Preserving OLAP
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
Rakesh Agrawal, Ramakrishnan Srikant, Dilys Thomas
TLCA
2005
Springer
14 years 2 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 6 months ago
Personalized Data Set for Analysis
Data Management portfolio within an organization has seen an upsurge in initiatives for compliance, security, repurposing and storage within and outside the organization. When suc...
Vishal Gupta, Ashutosh Saxena
KDD
2008
ACM
162views Data Mining» more  KDD 2008»
14 years 9 months ago
Composition attacks and auxiliary information in data privacy
Privacy is an increasingly important aspect of data publishing. Reasoning about privacy, however, is fraught with pitfalls. One of the most significant is the auxiliary informatio...
Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanat...
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 9 months ago
Privacy-Preserving Protocols for Eigenvector Computation
Abstract. In this paper, we present a protocol for computing the principal eigenvector of a collection of data matrices belonging to multiple semi-honest parties with privacy const...
Manas A. Pathak, Bhiksha Raj