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JIDM
2010
122views more  JIDM 2010»
13 years 6 months ago
Revisiting "Privacy Preserving Clustering by Data Transformation"
Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering w...
Stanley R. M. Oliveira, Osmar R. Zaïane
ADC
2007
Springer
145views Database» more  ADC 2007»
14 years 2 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
DASFAA
2010
IEEE
148views Database» more  DASFAA 2010»
14 years 8 days ago
Competitive Privacy: Secure Analysis on Integrated Sequence Data
Sequence data analysis has been extensively studied in the literature. However, most previous work focuses on analyzing sequence data from a single source or party. In many applica...
Raymond Chi-Wing Wong, Eric Lo
DAMON
2006
Springer
13 years 11 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...
INFOCOM
2011
IEEE
12 years 11 months ago
Reconciling privacy preservation and intrusion detection in sensory data aggregation
—When wireless sensors are deployed to monitor the working or life conditions of people, the data collected and processed by these sensors may reveal privacy of people. The actua...
Chuang Wang, Guiling Wang, Wensheng Zhang 0001, Ta...