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Paper Abstract and Keywords
Presentation 2023-03-02 13:30
An image watermarking method using adversarial perturbations
Sei Takano, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2022-43
Abstract (in Japanese) (See Japanese page) 
(in English) The performance of convolutional neural networks (CNNs) has been dramatically improved in recent years, and they have attracted much attention in object detection, image classification, and others. On the other hand, it is known that there exist perturbations, called adversarial perturbations, which cause CNNs to misidentify objects and are almost indistinguishable from humans. If perturbations are considered watermarking information, they can be used to add some information to an image. Based on this idea, we propose a new watermarking method that assumes a CNN as a detection method. Considering compression resistance, we develop a C&W-DCT attack that perturbs the DCT coefficients and propose a new watermarking method. Through experiments, we show that the proposed method can be used as a watermark technique in practice and is resistant to JPEG compression.
Keyword (in Japanese) (See Japanese page) 
(in English) adversarial perturbation / deep learning / adversarial example / target attack / MobileNetV2 / JPEG / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 410, SIS2022-43, pp. 15-20, March 2023.
Paper # SIS2022-43 
Date of Issue 2023-02-23 (SIS) 
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 SIS2022-43

Conference Information
Committee SIS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2023-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An image watermarking method using adversarial perturbations 
Sub Title (in English)  
Keyword(1) adversarial perturbation  
Keyword(2) deep learning  
Keyword(3) adversarial example  
Keyword(4) target attack  
Keyword(5) MobileNetV2  
Keyword(6) JPEG  
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Keyword(8)  
1st Author's Name Sei Takano  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Mitsuji Muneyasu  
2nd Author's Affiliation Kansai University (Kansai Univ.)
3rd Author's Name Soh Yoshida  
3rd Author's Affiliation Kansai University (Kansai Univ.)
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Speaker Author-2 
Date Time 2023-03-02 13:30:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2022-43 
Volume (vol) vol.122 
Number (no) no.410 
Page pp.15-20 
#Pages 6 
Date of Issue 2023-02-23 (SIS) 

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