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» Optimal randomization for privacy preserving data mining
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SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
13 years 9 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 10 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...
DAWAK
2005
Springer
14 years 1 months ago
FMC: An Approach for Privacy Preserving OLAP
To preserve private information while providing thorough analysis is one of the significant issues in OLAP systems. One of the challenges in it is to prevent inferring the sensitiv...
Ming Hua, Shouzhi Zhang, Wei Wang 0009, Haofeng Zh...
HASE
2008
IEEE
14 years 2 months ago
Privacy, Preservation and Performance: The 3 P's of Distributed Data Management
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
Bobji Mungamuru, Hector Garcia-Molina
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
13 years 8 months ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung