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Paper Abstract and Keywords
Presentation 2019-09-19 15:10
Secure sparse representations in L0 norm minimization
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2019-11 IE2019-24 EMM2019-68
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method to estimate secure sparse representations in L0 norm minimization, and evaluate the effectiveness of the proposed scheme. With the advent of the big data era, digital content continues to increase. Sparse coding is attracting attention as an information processing model for extracting significant information from a large amount of data. It has been applied to a number of fields including image processing and data analysis, and its effectiveness is recognized. On the other hand, cloud computing is spreading in many fields including image processing and data analysis. However, the cloud computing has some serious issues for end users, such as unauthorized use and leak of data, and privacy compromise, due to unreliability of providers and some accident. We propose a method to estimate secure sparse coefficients from encrypted observed signals while keeping them secure. Simulation results show that it can estimate the encrypted sparse coefficients and unauthorized users can not decode observed signals even in leaking of dictionaries.
Keyword (in Japanese) (See Japanese page) 
(in English) Sparse Coding / Sparse Representation / L0 Norm / Random Unitary Transform / Secure Computation / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 207, EMM2019-68, pp. 25-30, Sept. 2019.
Paper # EMM2019-68 
Date of Issue 2019-09-12 (LOIS, IE, EMM) 
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)
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Conference Information
Conference Date 2019-09-19 - 2019-09-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokimeito, Niigata University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMM 
Conference Code 2019-09-IE-EMM-LOIS-CMN-ME-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Secure sparse representations in L0 norm minimization 
Sub Title (in English)  
Keyword(1) Sparse Coding  
Keyword(2) Sparse Representation  
Keyword(3) L0 Norm  
Keyword(4) Random Unitary Transform  
Keyword(5) Secure Computation  
1st Author's Name Takayuki Nakachi  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Hitoshi Kiya  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
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Date Time 2019-09-19 15:10:00 
Presentation Time 25 
Registration for EMM 
Paper # IEICE-LOIS2019-11,IEICE-IE2019-24,IEICE-EMM2019-68 
Volume (vol) IEICE-119 
Number (no) no.205(LOIS), no.206(IE), no.207(EMM) 
Page pp.25-30 
#Pages IEICE-6 
Date of Issue IEICE-LOIS-2019-09-12,IEICE-IE-2019-09-12,IEICE-EMM-2019-09-12 

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