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Paper Abstract and Keywords
Presentation 2024-07-22 16:40
Defending against adversarial example attacks by a denoising autoencoder and physical random noise
Yuki Rogi, Kota Yoshida, Tatsuya Oyama, Takeshi Fujino, Shunsuke Okura (Ritsumeikan Univ.) ISEC2024-38 SITE2024-35 BioX2024-48 HWS2024-38 ICSS2024-42 EMM2024-44
Abstract (in Japanese) (See Japanese page) 
(in English) With the development of IoT technology, edge AI has attracted widespread attention. However, edge AI shows vulnerability to adversarial example (AE) attacks, where invisible small perturbations can cause a convolutional neural network (CNN) to misclassify input images. Defense methods that add disturbance noise to the input images have been proposed as a solution to AE attacks on edge AI. In this paper, we first show that the defense method using disturbance noise is less effective when the noise generated (e.g., with an arithmetic algorithm) is predictable. Therefore, we propose a defense method using unpredictable noise based on thermal noise generated by an image sensor, along with a post-processing method for the thermal noise. An image sensor was utilized to generate $textbf{5}$-bit disturbance noise for defense against AE attacks based on thermal noise.
Using the NIST 800-22 random number test, all items passed with high probability, indicating high randomness. As a result of evaluating using NIST 800-90B random number test, the Min-Entropy of thermal noise caused by image sensor was estimated to be $0.74$. It is also confirmed that the defense performance was improved by $textbf{24%}$ when using the proposed post-processing approach.
Keyword (in Japanese) (See Japanese page) 
(in English) CMOS image sensors / edge AI / hardware security / Image recognition / true random numbers / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 123, HWS2024-38, pp. 194-199, July 2024.
Paper # HWS2024-38 
Date of Issue 2024-07-15 (ISEC, SITE, BioX, HWS, ICSS, EMM) 
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 ISEC2024-38 SITE2024-35 BioX2024-48 HWS2024-38 ICSS2024-42 EMM2024-44

Conference Information
Committee EMM BioX ISEC SITE ICSS HWS IPSJ-CSEC IPSJ-SPT 
Conference Date 2024-07-22 - 2024-07-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Sapporo Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HWS 
Conference Code 2024-07-EMM-BioX-ISEC-SITE-ICSS-HWS-CSEC-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Defending against adversarial example attacks by a denoising autoencoder and physical random noise 
Sub Title (in English)  
Keyword(1) CMOS image sensors  
Keyword(2) edge AI  
Keyword(3) hardware security  
Keyword(4) Image recognition  
Keyword(5) true random numbers  
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Keyword(8)  
1st Author's Name Yuki Rogi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Kota Yoshida  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Tatsuya Oyama  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Takeshi Fujino  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
5th Author's Name Shunsuke Okura  
5th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2024-07-22 16:40:00 
Presentation Time 25 minutes 
Registration for HWS 
Paper # ISEC2024-38, SITE2024-35, BioX2024-48, HWS2024-38, ICSS2024-42, EMM2024-44 
Volume (vol) vol.124 
Number (no) no.120(ISEC), no.121(SITE), no.122(BioX), no.123(HWS), no.124(ICSS), no.125(EMM) 
Page pp.194-199 
#Pages 6 
Date of Issue 2024-07-15 (ISEC, SITE, BioX, HWS, ICSS, EMM) 

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