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» Optimal randomization for privacy preserving data mining
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SIGMOD
2005
ACM
128views Database» more  SIGMOD 2005»
14 years 8 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
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 8 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
ICDE
2007
IEEE
123views Database» more  ICDE 2007»
14 years 2 months ago
Privacy Preserving Pattern Discovery in Distributed Time Series
The search for unknown frequent pattern is one of the core activities in many time series data mining processes. In this paper we present an extension of the pattern discovery pro...
Josenildo Costa da Silva, Matthias Klusch
VLDB
2007
ACM
138views Database» more  VLDB 2007»
14 years 1 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...
SIGMOD
2010
ACM
274views Database» more  SIGMOD 2010»
14 years 17 days ago
K-isomorphism: privacy preserving network publication against structural attacks
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
James Cheng, Ada Wai-Chee Fu, Jia Liu