EsPRESSO: Efficient privacy-preserving evaluation of sample set similarity
Author:
Affiliation:
1. Università di Salerno, Fisciano, Italy. E-mail: cblundo@unisa.it
2. PARC, Palo Alto, CA, USA. E-mail: me@emilianodc.com
3. New York Institute of Technology, Broadway, NY, USA. E-mail: pgasti@nyit.edu
Publisher
IOS Press
Subject
Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Software
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4. E. Baglioni, L. Becchetti, L. Bergamini, U. Colesanti, L. Filipponi, A. Vitaletti and G. Persiano, A lightweight privacy preserving sms-based recommendation system for mobile users, in: RecSys, 2010.
5. P. Baldi, R. Baronio, E. De Cristofaro, P. Gasti and G. Tsudik, Countering gattaca: efficient and secure testing of fully-sequenced human genomes, in: CCS, 2011.
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