论文信息 - Privacy Preserving Pattern Classification

Privacy Preserving Pattern Classification

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.

[1] Shai Avidan,et al. Blind Vision , 2006, ECCV.

[2] Oded Goldreich. Foundations of Cryptography: Volume 1 , 2006 .

[3] Oded Goldreich,et al. Foundations of Cryptography: List of Figures , 2001 .

[4] Yehuda Lindell,et al. Privacy Preserving Data Mining , 2002, Journal of Cryptology.

[5] Chi-Jen Lu,et al. Oblivious polynomial evaluation and oblivious neural learning , 2001, Theor. Comput. Sci..

[6] Moni Naor,et al. Oblivious Polynomial Evaluation , 2006, SIAM J. Comput..

[7] Oded Goldreich. Foundations of Cryptography: Index , 2001 .

[8] Oded Goldreich,et al. Foundations of Cryptography: Volume 1, Basic Tools , 2001 .

[9] Andrew Chi-Chih Yao,et al. Protocols for secure computations , 1982, FOCS 1982.