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VLDB
2007
ACM
138views Database» more  VLDB 2007»
14 years 2 months ago
Minimality Attack in Privacy Preserving Data Publishing
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 2 months ago
Privacy-Preserving Frequent Pattern Mining across Private Databases
Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining te...
Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang
IAJIT
2010
157views more  IAJIT 2010»
13 years 7 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database
: Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the p...
Ashraf El-Sisi
AMW
2011
13 years 4 days ago
Private Database Synthesis for Outsourced System Evaluation
The goal of this paper is to permit secure outsourced system evaluation. We propose a method for generating synthetic databases and obfuscating a workload of queries in order to pr...
Vani Gupta, Gerome Miklau, Neoklis Polyzotis
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