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Paper Abstract and Keywords
Presentation 2020-03-02 15:10
A Pattern Recognition Method Using Secure Sparse Representations in L0 Norm Minimization
Takayuki Nakachi, Yitu Wang (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) EA2019-130 SIP2019-132 SP2019-79
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a privacy-preserving pattern recognition method using encrypted sparse representations in L0 norm minimization, and evaluate the effectiveness of the proposed scheme. Sparse modeling is drawing attention as an information processing model for extracting useful information hidden in a large amount of data. The effectiveness of sparse coding has been confirmed in the areas of image processing, and data analysis etc. Previously, we proposed secure sparse coding for image compression and pattern recognition which works in the encrypted domain. However, the estimated sparse coefficients are not encrypted while the input images are encrypted. It leads potential risks that some information of data statistics can leak through the statistical analysis of the extracted sparse coefficients. We propose a pattern recognition method while keeping sparse coefficients encrypted. Finally, we demonstrate its excellent recognition performance and the security strength for face recognition.
Keyword (in Japanese) (See Japanese page) 
(in English) Pattern Recognition / Face Recognition / Sparse Coding / Sparse Representations / Random Unitary Transform / Secure Computation / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 440, SIP2019-132, pp. 169-174, March 2020.
Paper # SIP2019-132 
Date of Issue 2020-02-24 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2019-130 SIP2019-132 SP2019-79

Conference Information
Committee SP EA SIP  
Conference Date 2020-03-02 - 2020-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2020-03-SP-EA-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Pattern Recognition Method Using Secure Sparse Representations in L0 Norm Minimization 
Sub Title (in English)  
Keyword(1) Pattern Recognition  
Keyword(2) Face Recognition  
Keyword(3) Sparse Coding  
Keyword(4) Sparse Representations  
Keyword(5) Random Unitary Transform  
Keyword(6) Secure Computation  
1st Author's Name Takayuki Nakachi  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Yitu Wang  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Hitoshi Kiya  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
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Speaker Author-1 
Date Time 2020-03-02 15:10:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # EA2019-130, SIP2019-132, SP2019-79 
Volume (vol) vol.119 
Number (no) no.439(EA), no.440(SIP), no.441(SP) 
Page pp.169-174 
Date of Issue 2020-02-24 (EA, SIP, SP) 

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