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Paper Abstract and Keywords
Presentation 2023-09-12 15:35
Variational Autoencoder Oriented Protection for Intellectual Property
Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2023-31
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, generative AI, which generates images based on instructions in natural language, has developed rapidly and is expected to be widely applied. However, many images on the Internet are used without permissions. In addition, there is a risk of generating fake images based on real images and being abused to spread false information. In this study, we propose a method to generate adversarial example samples (AE) based on a variational autoencoder (VAE) of a latent diffusion model (LDM). By adding an imperceptible adversarial perturbation to the input image, we degrade the quality of the image generated by the model and prevent unauthorized use of the protected content. In the evaluation experiment, AE is used as input for an image-to-image task, and the effect of adversarial perturbation on the output of LDM is evaluated.
Keyword (in Japanese) (See Japanese page) 
(in English) artificial intelligence / latent diffusion models / variational autoencoder / adversarial examples / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 190, AI2023-31, pp. 180-186, Sept. 2023.
Paper # AI2023-31 
Date of Issue 2023-09-05 (AI) 
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)
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Conference Information
Committee AI  
Conference Date 2023-09-12 - 2023-09-13 
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Paper Information
Registration To AI 
Conference Code 2023-09-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Variational Autoencoder Oriented Protection for Intellectual Property 
Sub Title (in English)  
Keyword(1) artificial intelligence  
Keyword(2) latent diffusion models  
Keyword(3) variational autoencoder  
Keyword(4) adversarial examples  
1st Author's Name Ryo Kumagai  
1st Author's Affiliation Meijo University (Meijo Univ.)
2nd Author's Name Shu Takemoto  
2nd Author's Affiliation Meijo University (Meijo Univ.)
3rd Author's Name Yusuke Nozaki  
3rd Author's Affiliation Meijo University (Meijo Univ.)
4th Author's Name Masaya Yoshikawa  
4th Author's Affiliation Meijo University (Meijo Univ.)
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Speaker Author-1 
Date Time 2023-09-12 15:35:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2023-31 
Volume (vol) vol.123 
Number (no) no.190 
Page pp.180-186 
Date of Issue 2023-09-05 (AI) 

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