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FIRC, A. MALINKA, K.
Originální název
Practical lessons of (deep)faking human speech
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
deepfakes, biometrics, spoofing attack, impersonation
Autoři
FIRC, A.; MALINKA, K.
Vydáno
30. 5. 2022
Nakladatel
Czech Open Systems User's Group
Místo
Radešín
ISBN
978-80-86583-34-1
Kniha
Sborník příspevků z 54. konference EurOpen.CZ, 28.5.-1.6.2022
Strany od
161
Strany do
172
Strany počet
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" }