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FIRC, A. MALINKA, K.
Original Title
Practical lessons of (deep)faking human speech
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
Deepfakes are an emerging threat to computer security. Various usages range from spreading fake news to identity theft. A particular subset of this problem is using deepfakes to spoof biometrics systems. The attacker spoofs an individual's identity by synthesizing his voice or appearance and uses this spoofed identity to gain access into a system secured by biometrics authentication. In our former research, we demonstrated that speech deepfakes present a threat not only to voice biometrics systems but also to people. We presented that text-dependent verification is more resilient to deepfakes than text-independent verification. This paper aims to summarize our former research with its results and to highlight the powerful role of open-source tools in this area.
Keywords
deepfakes, biometrics, spoofing attack, impersonation
Authors
FIRC, A.; MALINKA, K.
Released
30. 5. 2022
Publisher
Czech Open Systems User's Group
Location
Radešín
ISBN
978-80-86583-34-1
Book
Sborník příspevků z 54. konference EurOpen.CZ, 28.5.-1.6.2022
Pages from
161
Pages to
172
Pages count
12
URL
https://europen.cz/Anot/54-1/sbornik-54.pdf
BibTex
@inproceedings{BUT177797, author="Anton {Firc} and Kamil {Malinka}", title="Practical lessons of (deep)faking human speech", booktitle="Sborník příspevků z 54. konference EurOpen.CZ, 28.5.-1.6.2022", year="2022", pages="161--172", publisher="Czech Open Systems User's Group", address="Radešín", isbn="978-80-86583-34-1", url="https://europen.cz/Anot/54-1/sbornik-54.pdf" }