Publication Details
Creation and detection of malicious synthetic media - a preliminary survey on deepfakes
face deepfakes, voice deepfakes, biometrics systems, deepfake detection,
cybersecurity
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.
@inproceedings{BUT177788,
author="Anton {Firc} and Kamil {Malinka} and Petr {Hanáček}",
title="Creation and detection of malicious synthetic media - a preliminary survey on deepfakes",
booktitle="Sborník příspevků z 54. konference EurOpen.CZ, 28.5.-1.6.2022",
year="2022",
pages="125--145",
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"
}