International Association for Cryptologic Research

International Association
for Cryptologic Research

CryptoDB

Taneli Mielikäinen

Publications

Year
Venue
Title
2006
EPRINT
Cryptographically Private Support Vector Machines
Sven Laur Helger Lipmaa Taneli Mielikäinen
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning algorithms, give private classification protocols and private polynomial kernel computation protocols. The new protocols return their outputs---either the kernel value, the classifier or the classifications---in encrypted form so that they can be decrypted only by a common agreement by the protocol participants. We also show how to use the encrypted classifications to privately estimate many properties of the data and the classifier. The new SVM classifiers are the first to be proven private according to the standard cryptographic definitions.

Coauthors

Sven Laur (1)
Helger Lipmaa (1)