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) |
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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) |
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Keyword(1) |
Machine Learning |
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Gaussian Process |
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Random Unitary Transform |
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Secure Computation |
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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) |
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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 |
6 |
Date of Issue |
2022-02-28 (EMM) |
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