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Paper Abstract and Keywords
Presentation 2026-03-04 09:30
[Poster Presentation] Analysis of Impacts of Input Audio Characteristics on Adversarial Attacks Against Speaker Verification
Daiki Kawahara, Ren Miyamoto, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2025-136 SIP2025-156 SP2025-89
Abstract (in Japanese) (See Japanese page) 
(in English) Speaker verification is a type of biometric authentication that determines whether an input utterance is spoken by a pre-registered speaker. One of the major threats to speaker verification systems is adversarial attacks, which manipulate the system output by adding small perturbations to the input audio. Although many studies have investigated adversarial attack methods and corresponding defense techniques, previous work has typically generated perturbations using speech audio and has paid little attention to the impact of differences in input audio characteristics.
In this study, we examine adversarial attacks using non-speech audio as the input audio to which perturbations are added, and evaluate their attack performance. In addition, we analyze the effectiveness of defense methods based on audio preprocessing for different types of adversarial audio. Experimental results show that the success rate of adversarial attacks depends on both the input audio characteristics and the speaker verification model. Furthermore, the degree of reduction in attack success rate achieved by applying defense methods varies significantly depending on the input audio type.
Keyword (in Japanese) (See Japanese page) 
(in English) Speaker Verification / Adversarial Attack / Audio Characteristics / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 371, SP2025-89, pp. 368-373, March 2026.
Paper # SP2025-89 
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 EA2025-136 SIP2025-156 SP2025-89

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) 
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Paper Information
Registration To SP 
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) Analysis of Impacts of Input Audio Characteristics on Adversarial Attacks Against Speaker Verification 
Sub Title (in English)  
Keyword(1) Speaker Verification  
Keyword(2) Adversarial Attack  
Keyword(3) Audio Characteristics  
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1st Author's Name Daiki Kawahara  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Ren Miyamoto  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Daisuke Saito  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Nobuaki Minematsu  
4th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2026-03-04 09:30:00 
Presentation Time 80 minutes 
Registration for SP 
Paper # EA2025-136, SIP2025-156, SP2025-89 
Volume (vol) vol.125 
Number (no) no.369(EA), no.370(SIP), no.371(SP) 
Page pp.368-373 
#Pages 6 
Date of Issue 2026-02-23 (EA, SIP, SP) 

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