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Paper Abstract and Keywords
Presentation 2025-03-05 14:30
[Poster Presentation] Model Inversion Attacks on a Feature Matching-based Face Identification System
Rena Ichiki, Yukinobu Taniguchi, Kazuaki Nakamura (TUS) EMM2024-126
Abstract (in Japanese) (See Japanese page) 
(in English) Model inversion attack (MIA), the attack to reveal personal biometric data from a victim biometric system, has been actively studied particularly focusing on multiclass classifier-based face identification systems. However, feature matching-based face identification (FMFI), where the similarities between the face feature extracted from an input image and the template features stored in DB are computed to identify the input image, is more practical and widely used in our society. In this paper, as the first step of a risk analysis of MIA against FMFI, we propose an MIA method on FMFI that can reveal a user's original face image used to create his/her template feature. We consider two attack scenarios: one targets a user whose template feature is retained in the victim FMFI system, and the other targets a user whose template feature was already removed. In the first scenario, we search for a face image whose similarity with the target user's template feature is maximized. In the second scenario, we employ a two-step algorithm that estimates the removed template feature and then reconstructs its corresponding original image. Our experimental results show an unignorable risk of MIA in both scenarios.
Keyword (in Japanese) (See Japanese page) 
(in English) model inversion attack / feature matching-based face identification / risk analysis / gradient descent / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 414, EMM2024-126, pp. 48-53, March 2025.
Paper # EMM2024-126 
Date of Issue 2025-02-26 (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 EMM2024-126

Conference Information
Committee EMM  
Conference Date 2025-03-05 - 2025-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawaken Seinenkaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMM 
Conference Code 2025-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Model Inversion Attacks on a Feature Matching-based Face Identification System 
Sub Title (in English)  
Keyword(1) model inversion attack  
Keyword(2) feature matching-based face identification  
Keyword(3) risk analysis  
Keyword(4) gradient descent  
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1st Author's Name Rena Ichiki  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Yukinobu Taniguchi  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Kazuaki Nakamura  
3rd Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2025-03-05 14:30:00 
Presentation Time 60 minutes 
Registration for EMM 
Paper # EMM2024-126 
Volume (vol) vol.124 
Number (no) no.414 
Page pp.48-53 
#Pages 6 
Date of Issue 2025-02-26 (EMM) 

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