The dawn of a text-dependent society: deepfakes as a threat to speech verification systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU142956" target="_blank" >RIV/00216305:26230/22:PU142956 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3477314.3507013" target="_blank" >https://dl.acm.org/doi/10.1145/3477314.3507013</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3477314.3507013" target="_blank" >10.1145/3477314.3507013</a>
Alternative languages
Result language
angličtina
Original language name
The dawn of a text-dependent society: deepfakes as a threat to speech verification systems
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
ISBN
978-1-4503-8713-2
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1646-1655
Publisher name
Association for Computing Machinery
Place of publication
New York, NY
Event location
Brno
Event date
Apr 25, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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