Presentation 2021-05-20
A universal detector of CNN-generated images based on properties of checkerboard artifacts
Miki Tanaka, Hitoshi Kiya,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) GAN / CNN / checkerboard artifact / fake image
Paper # IT2021-3,EMM2021-3
Date of Issue 2021-05-13 (IT, EMM)

Conference Information
Committee EMM / IT
Conference Date 2021/5/20(2days)
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.
Chair Masaki Kawamura(Yamaguchi Univ.) / Tadashi Wadayama(Nagoya Inst. of Tech.)
Vice Chair Motoi Iwata(Osaka Prefecture Univ.) / Masaaki Fujiyoshi(Tokyo Metropolitan Univ.) / Tetsuya Kojima(Tokyo Kosen)
Secretary Motoi Iwata(Tokyo Denki Univ.) / Masaaki Fujiyoshi(Kansai Univ.) / Tetsuya Kojima(Yamaguchi Univ.)
Assistant Madoka Hasegawa(Utsunomiya Univ.) / Maki Yoshida(NICT) / Takahiro Ohta(Senshu Univ.)

Paper Information
Registration To Technical Committee on Enriched MultiMedia / Technical Committee on Information Theory
Language JPN
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.)
Date 2021-05-20
Paper # IT2021-3,EMM2021-3
Volume (vol) vol.121
Number (no) IT-28,EMM-29
Page pp.pp.13-18(IT), pp.13-18(EMM),
#Pages 6
Date of Issue 2021-05-13 (IT, EMM)