Hlavní stránka > Výsledky hledání: keywords:"detekce deepfake"
Hledej:
Tipy pro vyhledávaní :: Rozšířené hledání
Hledej ve sbírkách:
Seřadit podle: Zobrazit výsledky: Výstupní formát:
Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Deepfake Detection Framework
 Bernard, Jan ; Perešíni, Martin (oponent) ; Malinka, Kamil (vedoucí práce)
Deepfake creation has improved a lot in recent times and hence is a dreaded menace to society. Deepfake detection methods have also responded with development, but there are still not enough good tools available to the general public. This work focuses on creating a deepfake detection framework that will be easily extended by other detection methods in the future, yet simple and accessible to the general public.
Úplný záznam
Assessing the Human Ability to Recognize Synthetic Speech
 Prudký, Daniel ; Malinka, Kamil (oponent) ; Firc, Anton (vedoucí práce)
This work responds to the development of artificial intelligence and its potential misuse in the field of cybersecurity. It aims to test and evaluate the human ability to recognize a subset of synthetic speech, called voice deepfake. This paper describes an experiment in which we communicated with respondents using voice messages. We presented the respondents with a cover story about testing the user-friendliness of voice messages while secretly sending them a pre-prepared deepfake recording during the conversation and looked at things like their reactions, their knowledge of deepfakes, or how many respondents correctly identified which message was manipulated. The results of the work showed that none of the respondents reacted in any way to the fraudulent deepfake message and only one retrospectively admitted to noticing something specific. On the other hand, a voicemail message that contained a deepfake was correctly identified by 96.8% of respondents after the experiment. Thus, the results show that although the deepfake recording was clearly identifiable among others, no one reacted to it. And so the whole thesis says that the human ability to recognize voice deepfakes is not at a level we can trust. It is very difficult for people to distinguish between real and fake voices, especially if they are not expecting them.
Úplný záznam

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.
Digitální repozitář :: Hledej :: Nový záznam :: Personalizace :: Nápověda
Powered by Invenio v1.1.2
Spravuje admin.invenio@techlib.cz
Tato stránka je dostupná také v následujících jazycích:
Česky  English