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Paper Abstract and Keywords
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
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
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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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  
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 
Date of Issue 2019-01-09 (MoNA) 

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