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Paper Abstract and Keywords
Presentation 2026-03-03 09:30
[Poster Presentation] A Detection Method of Tampered Images Using Adversarial Perturbations in The Encrypted Domain
Olimov Mukhammadolim, Kouki Horio, Sayaka Shiota, Hitoshi Kiya (TMU) EA2025-108 SIP2025-128 SP2025-61
Abstract (in Japanese) (See Japanese page) 
(in English) As represented by fake data, countering malicious data tampering and generation has become an urgent issue. This paper proposes a novel image spoofing detection method using adversarial samples. The proposed method designs adversarial perturbation to mislead the classifier into producing the specified classification result for an image randomly shuffled using a private key (encrypted image). Subsequently, the encrypted image with perturbation would be decrypted and published. The key owner verifies the presence of third-party tampering by performing image classification in the encrypted domain. Adversarial samples are generally robust against other than tampering processes like compression and do not require separating the image from auxiliary data, as with robust hashes. Furthermore, the use of encryption enables flexible control over the robustness of tamper detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Adversarial Example / Vision Transformer / Tamper Detection / DeepFake / Stable Diffusion / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 370, SIP2025-128, pp. 213-217, March 2026.
Paper # SIP2025-128 
Date of Issue 2026-02-23 (EA, SIP, SP) 
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 EA2025-108 SIP2025-128 SP2025-61

Conference Information
Committee SP EA SIP IPSJ-SLP  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2026-03-SP-EA-SIP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Detection Method of Tampered Images Using Adversarial Perturbations in The Encrypted Domain 
Sub Title (in English)  
Keyword(1) Adversarial Example  
Keyword(2) Vision Transformer  
Keyword(3) Tamper Detection  
Keyword(4) DeepFake  
Keyword(5) Stable Diffusion  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Olimov Mukhammadolim  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
2nd Author's Name Kouki Horio  
2nd Author's Affiliation Tokyo Metropolitan University (TMU)
3rd Author's Name Sayaka Shiota  
3rd Author's Affiliation Tokyo Metropolitan University (TMU)
4th Author's Name Hitoshi Kiya  
4th Author's Affiliation Tokyo Metropolitan University (TMU)
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Speaker Author-1 
Date Time 2026-03-03 09:30:00 
Presentation Time 80 minutes 
Registration for SIP 
Paper # EA2025-108, SIP2025-128, SP2025-61 
Volume (vol) vol.125 
Number (no) no.369(EA), no.370(SIP), no.371(SP) 
Page pp.213-217 
#Pages 5 
Date of Issue 2026-02-23 (EA, SIP, SP) 

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