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» Using Anonymized Data for Classification
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117
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TKDD
2008
113views more  TKDD 2008»
15 years 16 days ago
Privacy-preserving classification of vertically partitioned data via random kernels
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
Olvi L. Mangasarian, Edward W. Wild, Glenn Fung
SIGSOFT
2005
ACM
16 years 1 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
ICISC
2008
103views Cryptology» more  ICISC 2008»
15 years 2 months ago
Generalized Universal Circuits for Secure Evaluation of Private Functions with Application to Data Classification
Secure Evaluation of Private Functions (PF-SFE) allows two parties to compute a private function which is known by one party only on private data of both. It is known that PF-SFE c...
Ahmad-Reza Sadeghi, Thomas Schneider 0003
123
Voted
JMLR
2008
168views more  JMLR 2008»
15 years 18 days ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
113
Voted
ACSW
2004
15 years 2 months ago
A Framework for Privacy Preserving Classification in Data Mining
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...
Zahidul Islam, Ljiljana Brankovic