Paper Abstract and Keywords |
Presentation |
2022-08-26 14:26
Generation method of Adversarial Examples using XAI Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) SIP2022-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the advancement of AI technology, AI can be applied to various fields. Therefore the accountability for the decision by AI has become more important. The explainable AI (XAI) is a key technology to fulfill the accountability. While AI is spreading , the vulnerability of AI system is pointed out. The adversarial examples (AE), which causes wrong decisions by AI, is one of the terrible attacks for AI. Thus thorough investigation for AEs is mandatory required to use AI safely. This paper propose the generating method for adversarial examples which is based on XAI. Experiments prove the proposed method is superior to previous AEs. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
deep neural networks / security / adversarial examples / explainable AI / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 165, SIP2022-72, pp. 115-120, Aug. 2022. |
Paper # |
SIP2022-72 |
Date of Issue |
2022-08-18 (SIP) |
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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SIP2022-72 |
Conference Information |
Committee |
SIP |
Conference Date |
2022-08-25 - 2022-08-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nobumoto Ohama Memorial Hall (Ishigaki Island) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Signal processing, etc. |
Paper Information |
Registration To |
SIP |
Conference Code |
2022-08-SIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Generation method of Adversarial Examples using XAI |
Sub Title (in English) |
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deep neural networks |
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security |
Keyword(3) |
adversarial examples |
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explainable AI |
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1st Author's Name |
Ryo Kumagai |
1st Author's Affiliation |
Meijo University (Meijo Univ.) |
2nd Author's Name |
Shu Takemoto |
2nd Author's Affiliation |
Meijo University (Meijo Univ.) |
3rd Author's Name |
Yusuke Nozaki |
3rd Author's Affiliation |
Meijo University (Meijo Univ.) |
4th Author's Name |
Masaya Yoshikawa |
4th Author's Affiliation |
Meijo University (Meijo Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-08-26 14:26:00 |
Presentation Time |
18 minutes |
Registration for |
SIP |
Paper # |
SIP2022-72 |
Volume (vol) |
vol.122 |
Number (no) |
no.165 |
Page |
pp.115-120 |
#Pages |
6 |
Date of Issue |
2022-08-18 (SIP) |
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