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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 |
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| 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. |
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| 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 | |
| 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 | IT2021-3 EMM2021-3 |
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| 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 |
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| 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 |
| #Pages | 6 |
| Date of Issue | 2021-05-13 (IT, EMM) |
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