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Paper Abstract and Keywords
Presentation 2014-11-17 17:00
[Poster Presentation] Differential Privacy on Linear Regression Model of Crowdsensing
Tran Quang Khai, Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) IBISML2014-47
Abstract (in Japanese) (See Japanese page) 
(in English) Learning statistic models using the data collected from crowd is one of the important tasks in the crowdsensing. Crowdsensing allows statistical model building by exploiting individuals as sensors; we must pay attention to privacy concerns. In this research, we deal with the problem of privacy preservation on model learning by means of crowdsensing in the following setting. Data contributors share data with a server, then the server learns a linear regression model from the collected data and provides the model to the model user. In the context of model learning by crowdsensing, two different privacy concerns arise: preserving privacy from server (preserving privacy for data sharing) and preserving privacy from model users (preserving privacy for model publication), but until recently there is no study dealing with both. The statistic model learnt in our framework preserves privacy from server by perturbing data with normal distribution noise, and at the same time, preserves privacy from users under guarantee of differential privacy. We show that the sample complexity of the generalization loss obtained by our framework is $O(1/sqrt{n})$. From these, when the number of data contributors is large, our proposed scheme can learn almost the same model as the non-privacy model.
Keyword (in Japanese) (See Japanese page) 
(in English) differential privacy / crowdsensing / linear regression / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 306, IBISML2014-47, pp. 95-102, Nov. 2014.
Paper # IBISML2014-47 
Date of Issue 2014-11-10 (IBISML) 
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
Committee IBISML  
Conference Date 2014-11-17 - 2014-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2014-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Differential Privacy on Linear Regression Model of Crowdsensing 
Sub Title (in English)  
Keyword(1) differential privacy  
Keyword(2) crowdsensing  
Keyword(3) linear regression  
1st Author's Name Tran Quang Khai  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Kazuto Fukuchi  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
3rd Author's Name Jun Sakuma  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2014-11-17 17:00:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2014-47 
Volume (vol) vol.114 
Number (no) no.306 
Page pp.95-102 
Date of Issue 2014-11-10 (IBISML) 

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