Publication Details

The dawn of a text-dependent society: deepfakes as a threat to speech verification systems

FIRC Anton and MALINKA Kamil. The dawn of a text-dependent society: deepfakes as a threat to speech verification systems. In: SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY: Association for Computing Machinery, 2022, pp. 1646-1655. ISBN 978-1-4503-8713-2. Available from: https://dl.acm.org/doi/10.1145/3477314.3507013
Czech title
Úsvit společnosti závislé na textu: deepfakes jako hrozby pro hlasové biometrické systémy
Type
conference paper
Language
english
Authors
Firc Anton, Ing. (DITS FIT BUT)
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT)
URL
Keywords

deepfakes, speech verification, voice biometrics, machine learning, cybersecurity

Abstract

We are already aware that deepfakes pose threats to humankind. Nowadays, mostly as fake news or disinformation; however, there are still unexplored areas such as using deepfakes to spoof voice verification. We present a real-world use case for spoofing voice authentication in a customer care call center. Based on this scenario, we evaluate the feasibility of attacking such a system and create an attacker profile. For this purpose, we examine three available speech synthesis tools and discuss their usability. We use these tools and acquired knowledge to generate a dataset including deepfake speech and assess the resilience of voice biometrics systems against deepfakes. We prove that voice biometrics systems are indeed vulnerable to deepfake powered attacks. The most significant outcome is the proposal of text-dependent verification as a novel countermeasure for presented attacks. Text-dependent verification provides higher security than text-independent verification and can be used today as the simplest protection method against deepfakes.

Published
2022
Pages
1646-1655
Proceedings
SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
Conference
ACM Symposium On Applied Computing, online, US
ISBN
978-1-4503-8713-2
Publisher
Association for Computing Machinery
Place
New York, NY, US
DOI
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB12595,
   author = "Anton Firc and Kamil Malinka",
   title = "The dawn of a text-dependent society: deepfakes as a threat to speech verification systems",
   pages = "1646--1655",
   booktitle = "SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing",
   year = 2022,
   location = "New York, NY, US",
   publisher = "Association for Computing Machinery",
   ISBN = "978-1-4503-8713-2",
   doi = "10.1145/3477314.3507013",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12595"
}
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