Publication Details
Practical lessons of (deep)faking human speech
deepfakes, biometrics, spoofing attack, impersonation
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.
@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"
}