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Paper Abstract and Keywords
Presentation 2023-05-17 10:45
On the Risk Assessment Method against ML-specific Attacks for ML system developers -- A Damage Assessment Method for ML system developers --
Jun Yajima, Maki Inui, Kentarou Tsuji (Fujitsu Ltd.), Nobukazu Yoshioka (Waseda Univ.) ISEC2023-4
Abstract (in Japanese) (See Japanese page) 
(in English) To develop machine learning (ML) systems that are secure againstML-specific attacks, to conduct threat assessment to find which attacks are applicable and damage assessment to find what kind of damage and how much damage will occur if an attack is performed is necessary. In this paper, we propose a damage assessment method that can be easily performed by ML-developers who may not have ML-security expertise. Combined with our threat assessment proposed past, the proposed method enables developers to easily assess security risks at the planning and design phase in ML system development. We confirmed that the results of a trial by several assessors using proposed method can be obtained in a short period of time, and the results are almost no deviation among different assessors.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Risk Assessment / Threat Assessment / Damage Assessment / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 26, ISEC2023-4, pp. 25-32, May 2023.
Paper # ISEC2023-4 
Date of Issue 2023-05-10 (ISEC) 
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 ISEC2023-4

Conference Information
Committee ISEC  
Conference Date 2023-05-17 - 2023-05-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ISEC 
Conference Code 2023-05-ISEC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On the Risk Assessment Method against ML-specific Attacks for ML system developers 
Sub Title (in English) A Damage Assessment Method for ML system developers 
Keyword(1) Machine Learning  
Keyword(2) Risk Assessment  
Keyword(3) Threat Assessment  
Keyword(4) Damage Assessment  
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1st Author's Name Jun Yajima  
1st Author's Affiliation Fujitsu Limited (Fujitsu Ltd.)
2nd Author's Name Maki Inui  
2nd Author's Affiliation Fujitsu Limited (Fujitsu Ltd.)
3rd Author's Name Kentarou Tsuji  
3rd Author's Affiliation Fujitsu Limited (Fujitsu Ltd.)
4th Author's Name Nobukazu Yoshioka  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2023-05-17 10:45:00 
Presentation Time 25 minutes 
Registration for ISEC 
Paper # ISEC2023-4 
Volume (vol) vol.123 
Number (no) no.26 
Page pp.25-32 
#Pages 8 
Date of Issue 2023-05-10 (ISEC) 

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