Privacy preserving pattern classification

Shai Avidan*, Ariel Elbaz, Tal Malkin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We give efficient and practical protocols for Privacy Preserving Pattern Classification that allow a client to have his data classified by a server, without revealing information to either party, other than the classification result. We illustrate the advantages of such a framework on several real-world scenarios and give secure protocols for several classifiers.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages1684-1687
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 12 Oct 200815 Oct 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2008 IEEE International Conference on Image Processing, ICIP 2008
Country/TerritoryUnited States
CitySan Diego, CA
Period12/10/0815/10/08

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