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Paper Abstract and Keywords
Presentation 2022-03-08 11:50
RUT Computation of Gaussian Process Regression for Encrypting Input and Output Signals
Takayuki Nakachi (Univ. of the Ryukyus), Yitu Wang (NTT) EMM2021-115
Abstract (in Japanese) (See Japanese page) 
(in English) n this paper, we propose Gaussian Process Regression (GPR) for encrypted data generated based on random unitary transformation (RUT) and evaluate its performance. In recent years, computational forms that utilize computational resources provided by providers using edge and cloud services have rapidly become widespread. However, there are concerns about problems such as data fraud, leakage, and privacy invasion due to lack of reliability of providers and accidents. This paper examines the secure Gaussian process regression method that takes privacy protection into consideration. It is possible to solve the Gaussian process regression problem by encrypting not only the input signal but also the output signal. It is shown that the prediction performance does not deteriorate as compared with the case without encryption. Finally, as an application example of the secure Gaussian process regression, the disease progression is predicted using clinical data of diabetes, and the effectiveness of the proposed method is verified by simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Gaussian Process / Random Unitary Transform / Secure Computation / Edge/Cloud Computing / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 417, EMM2021-115, pp. 124-129, March 2022.
Paper # EMM2021-115 
Date of Issue 2022-02-28 (EMM) 
ISSN 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 EMM2021-115

Conference Information
Committee EMM  
Conference Date 2022-03-07 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) (Primary: Online, Secondary: On-site) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2022-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) RUT Computation of Gaussian Process Regression for Encrypting Input and Output Signals 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Gaussian Process  
Keyword(3) Random Unitary Transform  
Keyword(4) Secure Computation  
Keyword(5) Edge/Cloud Computing  
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1st Author's Name Takayuki Nakachi  
1st Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
2nd Author's Name Yitu Wang  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2022-03-08 11:50:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2021-115 
Volume (vol) vol.121 
Number (no) no.417 
Page pp.124-129 
#Pages
Date of Issue 2022-02-28 (EMM) 


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