| Paper Abstract and Keywords |
| Presentation |
2025-11-04 13:00
Risk Analysis of Synthetic Data Utilization in Face Recognition Models Shumpei Nishikawa, Masakatsu Nishigaki (Shizuoka Univ.), Tetsushi Ohki (Shizuoka Univ./RIKEN AIP) BioX2025-88 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, synthetic data generated by image generation models such as diffusion models has attracted attention as an effective means of data augmentation in the field of face recognition.
However, the effects of artifacts on recognition accuracy and the interaction with face anti-spoofing systems in real-world environments have not been sufficiently investigated.
In this study, we evaluate the performance of face recognition models trained on synthetic data, analyze the associated risks, and quantitatively examine performance variations.
Based on the findings, we discuss guidelines for the safe and effective utilization of synthetic data in face recognition. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Synthetic Data / Face Recognition / Face Anti-Spoofing / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 221, BioX2025-88, pp. 12-19, Nov. 2025. |
| Paper # |
BioX2025-88 |
| Date of Issue |
2025-10-28 (BioX) |
| 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 |
BioX2025-88 |
| Conference Information |
| Committee |
BioX |
| Conference Date |
2025-11-04 - 2025-11-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hirara port terminal building |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
BioX |
| Conference Code |
2025-11-BioX |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Risk Analysis of Synthetic Data Utilization in Face Recognition Models |
| Sub Title (in English) |
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| Keyword(1) |
Synthetic Data |
| Keyword(2) |
Face Recognition |
| Keyword(3) |
Face Anti-Spoofing |
| Keyword(4) |
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| 1st Author's Name |
Shumpei Nishikawa |
| 1st Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
| 2nd Author's Name |
Masakatsu Nishigaki |
| 2nd Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
| 3rd Author's Name |
Tetsushi Ohki |
| 3rd Author's Affiliation |
Shizuoka University/RIKEN AIP (Shizuoka Univ./RIKEN AIP) |
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| Speaker |
Author-1 |
| Date Time |
2025-11-04 13:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
BioX |
| Paper # |
BioX2025-88 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.221 |
| Page |
pp.12-19 |
| #Pages |
8 |
| Date of Issue |
2025-10-28 (BioX) |