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Paper Abstract and Keywords
Presentation 2021-05-20 14:35
A universal detector of CNN-generated images based on properties of checkerboard artifacts
Miki Tanaka, Hitoshi Kiya (Metro Univ.) IT2021-3 EMM2021-3
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a universal detector of images generated by using any CNNs to detect CNN-generated images.
We consider properties of checkerboard artifacts in the frequency domain that some CNN-generated images have,
and the spectrum of images is emphasized in accordance with the properties.
Next, emphasized spectrums are inputted into a detector to judges whether inputted images are CNN-generated ones or not. The proposed method is demonstrated to outperform a state-of-the-art method under some conditions. In addition, the combination of the proposed method and the conventional one is confirmed to improve the performance of these methods in an experiment.
Keyword (in Japanese) (See Japanese page) 
(in English) GAN / CNN / checkerboard artifact / fake image / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 29, EMM2021-3, pp. 13-18, May 2021.
Paper # EMM2021-3 
Date of Issue 2021-05-13 (IT, EMM) 
ISSN Online edition: ISSN 2432-6380
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 IT2021-3 EMM2021-3

Conference Information
Committee EMM IT  
Conference Date 2021-05-20 - 2021-05-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Security, Information Theory, Information Hiding, etc. 
Paper Information
Registration To EMM 
Conference Code 2021-05-EMM-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A universal detector of CNN-generated images based on properties of checkerboard artifacts 
Sub Title (in English)  
Keyword(1) GAN  
Keyword(2) CNN  
Keyword(3) checkerboard artifact  
Keyword(4) fake image  
1st Author's Name Miki Tanaka  
1st Author's Affiliation Tokyo metropolitan University (Metro Univ.)
2nd Author's Name Hitoshi Kiya  
2nd Author's Affiliation Tokyo metropolitan University (Metro Univ.)
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Speaker Author-1 
Date Time 2021-05-20 14:35:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # IT2021-3, EMM2021-3 
Volume (vol) vol.121 
Number (no) no.28(IT), no.29(EMM) 
Page pp.13-18 
Date of Issue 2021-05-13 (IT, EMM) 

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