DocumentCode
1869802
Title
Privacy Preserving Pattern Classification
Author
Avidan, Shai ; Elbaz, Ariel ; Malkin, Tal
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1684
Lastpage
1687
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.
Keywords
cryptographic protocols; pattern classification; cryptographic protocols; privacy preserving pattern classification; secure dot product; Blood; Circuits; Cryptographic protocols; Cryptography; Data privacy; Event detection; Gunshot detection systems; Pattern classification; Surveillance; US Government;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712097
Filename
4712097
Link To Document