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| Presentation | 2019-01-17 10:55 An Access Control Mechanism for Pre-trained ML Models in Mobile Apps Atsuya Sato, Katsuya Matsubara (Future Univ. Hakodate)  MoNA2018-69 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Utilizing machine learning inference on mobile platforms has been made real since recent smartphones may have high-performance processors and hardware accelerators of signal and image processing. However, the machine learning inference on the current mobile platform could bring issues. One of the most significant issues is that any machine learning inferences can be unlimitedly applied to personal data which once the application got permitted to. Furthermore, it could be quite hard to understand afterward the behavior of a 'learned' machine learning model and the behavior of an installed application can be transparently modified by replacing a used model. This research aims to implement an access control against such functionalities of machine learning inference for mobile platforms. In this paper, we describe how to identified learned models and how to implement permission control at Android Neural Networks API for Android as a target platform. And we also show an evaluation result with a prototype implementation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Machine learning inference / Android / Smartphone / Access control / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 389, MoNA2018-69, pp. 69-74, Jan. 2019. | |
| Paper # | MoNA2018-69 | |
| Date of Issue | 2019-01-09 (MoNA) | |
| 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 | MoNA2018-69 |
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| Conference Information | |
| Committee | MoNA |
| Conference Date | 2019-01-16 - 2019-01-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | T. B. D. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MoNA |
| Conference Code | 2019-01-MoNA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Access Control Mechanism for Pre-trained ML Models in Mobile Apps |
| Sub Title (in English) | |
| Keyword(1) | Machine learning inference |
| Keyword(2) | Android |
| Keyword(3) | Smartphone |
| Keyword(4) | Access control |
| Keyword(5) | |
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| 1st Author's Name | Atsuya Sato |
| 1st Author's Affiliation | Future University Hakodate (Future Univ. Hakodate) |
| 2nd Author's Name | Katsuya Matsubara |
| 2nd Author's Affiliation | Future University Hakodate (Future Univ. Hakodate) |
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| Speaker | Author-1 |
| Date Time | 2019-01-17 10:55:00 |
| Presentation Time | 25 minutes |
| Registration for | MoNA |
| Paper # | MoNA2018-69 |
| Volume (vol) | vol.118 |
| Number (no) | no.389 |
| Page | pp.69-74 |
| #Pages | 6 |
| Date of Issue | 2019-01-09 (MoNA) |
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