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SDMW
2004
Springer
15 years 2 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
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
12 years 12 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
15 years 2 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
DAMON
2006
Springer
15 years 1 months ago
Using secure coprocessors for privacy preserving collaborative data mining and analysis
Secure coprocessors have traditionally been used as a keystone of a security subsystem, eliminating the need to protect the rest of the subsystem with physical security measures. ...
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Gol...