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| Presentation | 2017-09-04 13:50 Privacy-preserving SVM processing by using random unitary transformation Takahiro Maekawa, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro.Univ.)  LOIS2017-15 IE2017-36 EMM2017-44 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper,we propose a privacy-preserving SVM processing method with templates protected by using a random unitary transformation, and evaluate the effectiveness of the proposed scheme, where templates mean features extracted from images or biometric traits. Recently, cloud computing is spreading in many fields. 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. Because of such a situation, this paper considers privacy-preserving SVM processing. It is shown that the unitary transformation-based template protection method enables us to not only protect templates, but also have the same classification performance as that of SVM processing with unprotected templates. Moreover, we consider how to update/assign secret keys, and then describe that it is possible to provide a higher performance than with unprotected templates. Some face recognition experiments are carried out as a SVM classification scheme to experimentally confirm the effectiveness of the method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | unitary transform / kernel method / SVM / template protection method / biometrics / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 200, IE2017-36, pp. 13-18, Sept. 2017. | |
| Paper # | IE2017-36 | |
| Date of Issue | 2017-08-28 (LOIS, IE, EMM) | |
| 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 | LOIS2017-15 IE2017-36 EMM2017-44 |
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| Conference Information | |
| Committee | EMM IE LOIS IEE-CMN ITE-ME |
| Conference Date | 2017-09-04 - 2017-09-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. (Clock Tower Centennial Hall) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multimedia Communication/System, Lifelog Applications, IP Broadcasting/Video Transmission, Media Security, etc. |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2017-09-EMM-IE-LOIS-CMN-ME |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Privacy-preserving SVM processing by using random unitary transformation |
| Sub Title (in English) | |
| Keyword(1) | unitary transform |
| Keyword(2) | kernel method |
| Keyword(3) | SVM |
| Keyword(4) | template protection method |
| Keyword(5) | biometrics |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takahiro Maekawa |
| 1st Author's Affiliation | Tokyo Metropolitan University (Tokyo Metro.Univ.) |
| 2nd Author's Name | Yuma Kinoshita |
| 2nd Author's Affiliation | Tokyo Metropolitan University (Tokyo Metro.Univ.) |
| 3rd Author's Name | Sayaka Shiota |
| 3rd Author's Affiliation | Tokyo Metropolitan University (Tokyo Metro.Univ.) |
| 4th Author's Name | Hitoshi Kiya |
| 4th Author's Affiliation | Tokyo Metropolitan University (Tokyo Metro.Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-09-04 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | IE |
| Paper # | LOIS2017-15, IE2017-36, EMM2017-44 |
| Volume (vol) | vol.117 |
| Number (no) | no.199(LOIS), no.200(IE), no.201(EMM) |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2017-08-28 (LOIS, IE, EMM) |
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