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| Presentation | 2018-11-05 15:10 [Poster Presentation] Watermarking of Neural Network with Exponential Weighting Parameters Ryota Namba (Tsukuba Univ.), Jun Sakuma (Tsukuba Univ./riken)  IBISML2018-63 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Deep learning has been achieving top performance in many tasks. Since training of a deep learning model requires a great deal of cost, neural network models need to be treated as valuable intellectual properties. One concern in such a situation is that some malicious user might redistribute the model or provide a prediction service using the model without permission. One promising solution is digital watermarking, to embed a mechanism into the model so that the owner of the model can verify the ownership of the model externally. In this study, we present a novel watermarking method that is tolerant of both model modification and query modification. We experimentally show that our watermarking method achieves high verification performance even under a malicious attempt of unauthorized model users such as model modification and query modification. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | machine learning / deep learning / digital watermarking / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 284, IBISML2018-63, pp. 143-150, Nov. 2018. | |
| Paper # | IBISML2018-63 | |
| Date of Issue | 2018-10-29 (IBISML) | |
| 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 | IBISML2018-63 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2018-11-05 - 2018-11-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Citizens Activites Center (Kaderu 2.7) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2018) |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2018-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Watermarking of Neural Network with Exponential Weighting Parameters |
| Sub Title (in English) | |
| Keyword(1) | machine learning |
| Keyword(2) | deep learning |
| Keyword(3) | digital watermarking |
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| 1st Author's Name | Ryota Namba |
| 1st Author's Affiliation | University of Tsukuba (Tsukuba Univ.) |
| 2nd Author's Name | Jun Sakuma |
| 2nd Author's Affiliation | University of Tsukuba/riken AIP (Tsukuba Univ./riken) |
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| Speaker | Author-1 |
| Date Time | 2018-11-05 15:10:00 |
| Presentation Time | 180 minutes |
| Registration for | IBISML |
| Paper # | IBISML2018-63 |
| Volume (vol) | vol.118 |
| Number (no) | no.284 |
| Page | pp.143-150 |
| #Pages | 8 |
| Date of Issue | 2018-10-29 (IBISML) |
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