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Paper Abstract and Keywords
Presentation 2013-07-18 15:10
Privacy-preserving Online Logistic Regression Based on Homomorphic Encryption
Shuang Wu, Junpei Kawamoto (Univ. of Tsukuba), Hiroaki Kikuchi (Meiji Univ.), Jun Sakuma (Univ. of Tsukuba) IBISML2013-10
Abstract (in Japanese) (See Japanese page) 
(in English) Preserve the privacy of personal information when conducting statistical analysis has attracted much attention in machine learning and data mining. In this work, we propose an approach to realize privacy-preserving logistic regression when data are held by different individuals--without actually combining the data together. In our approach, we use polynomial fitting to approximate the logistic function in order to solve the problem that logistic function is not available in the secure settings (encryptions are not applicable) because of its non-linear property. And the experiment shows that our approach achieves good prediction accuracy compared with original logistic regression.
Keyword (in Japanese) (See Japanese page) 
(in English) privacy-preserving / polynomial fitting / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 139, IBISML2013-10, pp. 67-74, July 2013.
Paper # IBISML2013-10 
Date of Issue 2013-07-11 (IBISML) 
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)
Download PDF IBISML2013-10

Conference Information
Committee IBISML  
Conference Date 2013-07-18 - 2013-07-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Nishiwaseda Campus (Waseda univ.) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learningn, etc. 
Paper Information
Registration To IBISML 
Conference Code 2013-07-IBISML 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Privacy-preserving Online Logistic Regression Based on Homomorphic Encryption 
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Keyword(1) privacy-preserving  
Keyword(2) polynomial fitting  
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1st Author's Name Shuang Wu  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Junpei Kawamoto  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
3rd Author's Name Hiroaki Kikuchi  
3rd Author's Affiliation Meiji University (Meiji Univ.)
4th Author's Name Jun Sakuma  
4th Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2013-07-18 15:10:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2013-10 
Volume (vol) vol.113 
Number (no) no.139 
Page pp.67-74 
#Pages 8 
Date of Issue 2013-07-11 (IBISML) 

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