Search
Now showing items 1-3 of 3
Privacy-Preserving Classification of Vertically Partitioned Data via Random Kernels
(2007)
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 entities. Each entity is unwilling to share
its ...
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
(2007)
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a
data matrix A whose columns represent input space features and whose individual rows are divided
into groups of rows. Each ...
Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data
(2008)
We propose a privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input
feature columns as well as individual data point rows are divided into groups belonging to different entities.
Each ...