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| Presentation | 2019-06-13 13:35 Privacy Preserving Sparse Representation for Face Recognition in Edge and Cloud Networks Yitu Wang, Takayuki Nakachi (NTT)  SIS2019-4 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The interaction between edge and cloud servers plays an important role in fulfilling the extensive computation requirements of face recognition featured applications. By aggregating information from devices in service, extra degree of diversity can be exploited to further enhance the performance, while raising significant concerns on the privacy of biometrics data. In this paper, we design a secured framework to make use of the multi-device diversity. First, we develop a low-complexity encrypting algorithm based on random unitary transform, to perform face recognition over the encrypted face images. We further prove that such computation on cipher-texts will not influence the accuracy of face recognition. Second, we obtain a refined solution through combining the recognition results based on the dictionaries of each device by ensemble learning. Finally, the simulation results verify the effectiveness and robustness of the proposed framework. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Security / Edge and Cloud / Diversity / Face Recognition / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 78, SIS2019-4, pp. 17-22, June 2019. | |
| Paper # | SIS2019-4 | |
| Date of Issue | 2019-06-06 (SIS) | |
| 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 | SIS2019-4 |
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| Conference Information | |
| Committee | SIS IPSJ-AVM ITE-3DMT |
| Conference Date | 2019-06-13 - 2019-06-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukue Culture Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Intelligent Multimedia Systems, Applied Enbedded Systems, Three-Dimensional Image Technology (3DIT), etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2019-06-SIS-AVM-3DIT |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Privacy Preserving Sparse Representation for Face Recognition in Edge and Cloud Networks |
| Sub Title (in English) | |
| Keyword(1) | Security |
| Keyword(2) | Edge and Cloud |
| Keyword(3) | Diversity |
| Keyword(4) | Face Recognition |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Yitu Wang |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Takayuki Nakachi |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2019-06-13 13:35:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2019-4 |
| Volume (vol) | vol.119 |
| Number (no) | no.78 |
| Page | pp.17-22 |
| #Pages | 6 |
| Date of Issue | 2019-06-06 (SIS) |
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