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) |
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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) |
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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 |
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Risk Assessment |
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Threat Assessment |
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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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