Publication Details

Practical lessons of (deep)faking human speech

FIRC Anton and MALINKA Kamil. Practical lessons of (deep)faking human speech. In: Sborník příspevků z 54. konference EurOpen.CZ, 28.5.-1.6.2022. Radešín: Czech Open Systems User's Group, 2022, pp. 161-172. ISBN 978-80-86583-34-1. Available from: https://europen.cz/Anot/54-1/sbornik-54.pdf
Czech title
Praktické lekce (deep)fakingu lidské řeči
Type
conference paper
Language
english
Authors
Firc Anton, Ing. (DITS FIT BUT)
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT)
URL
Keywords

deepfakes, biometrics, spoofing attack, impersonation

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.

Published
2022
Pages
161-172
Proceedings
Sborník příspevků z 54. konference EurOpen.CZ, 28.5.-1.6.2022
Conference
54. konference EurOpen.CZ, Radešín, CZ
ISBN
978-80-86583-34-1
Publisher
Czech Open Systems User's Group
Place
Radešín, CZ
BibTeX
@INPROCEEDINGS{FITPUB12742,
   author = "Anton Firc and Kamil Malinka",
   title = "Practical lessons of (deep)faking human speech",
   pages = "161--172",
   booktitle = "Sborn\'{i}k p\v{r}\'{i}spevk\r{u} z 54. konference EurOpen.CZ, 28.5.-1.6.2022",
   year = 2022,
   location = "Rade\v{s}\'{i}n, CZ",
   publisher = "Czech Open Systems User's Group",
   ISBN = "978-80-86583-34-1",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12742"
}
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