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 |
Copyright and reproduction |
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) |
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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) |
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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) |
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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 |
Keyword(7) |
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Keyword(8) |
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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 |
#Pages |
6 |
Date of Issue |
2020-02-24 (EA, SIP, SP) |
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