Practical lessons of (deep)faking human speech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU144478" target="_blank" >RIV/00216305:26230/22:PU144478 - isvavai.cz</a>

Výsledek na webu

<a href="https://europen.cz/Anot/54-1/sbornik-54.pdf" target="_blank" >https://europen.cz/Anot/54-1/sbornik-54.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Practical lessons of (deep)faking human speech

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Practical lessons of (deep)faking human speech

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Sborník příspevků z 54. konference EurOpen.CZ, 28.5.-1.6.2022

ISBN

978-80-86583-34-1

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

161-172

Název nakladatele

Czech Open Systems User's Group

Místo vydání

Radešín

Místo konání akce

Radešín

Datum konání akce

29. 5. 2022

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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