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Paper Abstract and Keywords
Presentation 2024-03-02 09:20
Countermeasure on AI Hardware against Adversarial Examples
Kosuke Hamaguchi, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) VLD2023-134 HWS2023-94 ICD2023-123
Abstract (in Japanese) (See Japanese page) 
(in English) The demand for edge AI, in which artificial intelligence (AI) is directly embedded in devices, is increasing, and the security of image classification systems based on edge AI has attracted much attention. Adversarial Examples (AEs), which induce misclassification by applying small perturbations to input images, are one of the most common attack methods against image classification systems, and some AE attack methods have been shown to be effective in edge AI as well. However, no countermeasures against AEs that are effective in edge AI have been proposed. This study proposes several countermeasure methods for AE focusing on different properties, and evaluated their effectiveness in edge AI by comparing and evaluating software and hardware.
Keyword (in Japanese) (See Japanese page) 
(in English) Edge AI / Binarized Neural Network / Adversarial Examples / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 391, HWS2023-94, pp. 184-189, Feb. 2024.
Paper # HWS2023-94 
Date of Issue 2024-02-21 (VLD, HWS, ICD) 
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 VLD2023-134 HWS2023-94 ICD2023-123

Conference Information
Committee VLD HWS ICD  
Conference Date 2024-02-28 - 2024-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HWS 
Conference Code 2024-02-VLD-HWS-ICD 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Countermeasure on AI Hardware against Adversarial Examples 
Sub Title (in English)  
Keyword(1) Edge AI  
Keyword(2) Binarized Neural Network  
Keyword(3) Adversarial Examples  
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1st Author's Name Kosuke Hamaguchi  
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 2024-03-02 09:20:00 
Presentation Time 25 minutes 
Registration for HWS 
Paper # VLD2023-134, HWS2023-94, ICD2023-123 
Volume (vol) vol.123 
Number (no) no.390(VLD), no.391(HWS), no.392(ICD) 
Page pp.184-189 
#Pages 6 
Date of Issue 2024-02-21 (VLD, HWS, ICD) 

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