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Paper Abstract and Keywords
Presentation 2024-03-13 13:40
A Steganalysis of Image Steganography using Real Image Denoising
Shinnosuke Toguchi, Takamichi Miyata (CIT) SITE2023-100 IA2023-106
Abstract (in Japanese) (See Japanese page) 
(in English) Image steganography is a technique for embedding secret messages in images. SteganoGAN, one of the previous methods, uses generative adversarial networks and achieves high payload when the input is a noise-free image. However, real images contain real image noise~(RIN) generated during the image acquisition process, which can degrade the performance of SteganoGAN. We propose a RIN-aware image steganography that uses a real image denoising method as preprocessing and modifies the loss function of SteganoGAN. These modifications encourage the proposed method to embed a secret message that simulates RIN into a pseudo-noise-free image obtained by denoising. Experimental results show that the proposed method improves the trade-off between image quality and payload compared to the previous method. The proposed method also showed higher tolerance than conventional methods in the evaluation of detector tolerance.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Steganography / Generative Adversarial Network / Steganalysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 421, SITE2023-100, pp. 195-202, March 2024.
Paper # SITE2023-100 
Date of Issue 2024-03-05 (SITE, IA) 
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 SITE2023-100 IA2023-106

Conference Information
Committee IA SITE IPSJ-IOT  
Conference Date 2024-03-12 - 2024-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima City Future Creation Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet and Information Ethics Education, etc. 
Paper Information
Registration To SITE 
Conference Code 2024-03-IA-SITE-IOT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Steganalysis of Image Steganography using Real Image Denoising 
Sub Title (in English)  
Keyword(1) Image Steganography  
Keyword(2) Generative Adversarial Network  
Keyword(3) Steganalysis  
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1st Author's Name Shinnosuke Toguchi  
1st Author's Affiliation Chiba Institute of Technology (CIT)
2nd Author's Name Takamichi Miyata  
2nd Author's Affiliation Chiba Institute of Technology (CIT)
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Speaker Author-1 
Date Time 2024-03-13 13:40:00 
Presentation Time 25 minutes 
Registration for SITE 
Paper # SITE2023-100, IA2023-106 
Volume (vol) vol.123 
Number (no) no.421(SITE), no.422(IA) 
Page pp.195-202 
#Pages 8 
Date of Issue 2024-03-05 (SITE, IA) 

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