Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
4
Authors
Sahidullah, Md; Shim, Hye Jin; Hautamaki, Rosa Gonzalez; Kinnunen, Tomi H.

Publication channel information

Title of journal/series
IEEE journal of selected topics in signal processing
ISSN (print)
1932-4553
ISSN (electronic)
1941-0484
ISSN (linking)
1932-4553
Publisher
IEEE
Publication forum ID
57458
Publication forum level
3
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
Journal/series volume number
[Epub ahead of print 16 May 2025]
Page numbers
1-16
DOI
10.1109/JSTSP.2025.3569430
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
6121 Languages, 113 Computer and information sciences, 213 Electronic, automation and communications engineering, electronics
Keywords
anti-spoofing; ASVspoof; Clever Hans; Dataset bias; shortcut learning

Funding information

Funding information in the publication
This work was partially supported by Academy of Finland (Decision No. 349605, project ”SPEECHFAKES”).

Source database ID

Scopus ID
2-s2.0-105005472030