Creation and detection of malicious synthetic media - a preliminary survey on deepfakes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU144472" target="_blank" >RIV/00216305:26230/22:PU144472 - isvavai.cz</a>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Creation and detection of malicious synthetic media - a preliminary survey on deepfakes
Original language description
Deepfakes present an emerging threat in cyberspace. Recent developments in machine learning make deepfakes highly believable and very difficult to differentiate between what is real and what is fake. Not only humans but also machines struggle to identify deepfakes. Current biometrics systems might be easily fooled by carefully prepared malicious synthetic media -- deepfakes. We provide an overview of deepfake creation and detection methods for selected visual and audio domains. We put specific emphasize on the open-source solutions. We discuss both facial and speech deepfakes, and for each domain, we define deepfake categories and differences between them and discuss available detection methods. For each deepfake category, we provide an overview of available open-source tools for their creation and datasets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
21
Pages from-to
125-145
Publisher name
Czech Open Systems User's Group
Place of publication
Radešín
Event location
Radešín
Event date
May 29, 2022
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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