Publicación: Dataset Generation and Study of Deepfake Techniques
Cargando...
Fecha
2023
Editor/a
Director/a
Tutor/a
Coordinador/a
Prologuista
Revisor/a
Ilustrador/a
Derechos de acceso
Atribución-NoComercial-SinDerivadas 4.0 Internacional
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
Título de la revista
ISSN de la revista
Título del volumen
Editor
Springer
Resumen
The consumption of multimedia content on the Internet has nowadays been expanded exponentially. These trends have contributed to fake news can become a very high influence in the current society. The latest techniques to influence the spread of digital false information are based on methods of generating images and videos, known as Deepfakes. This way, our research work analyzes the most widely used Deepfake content generation methods, as well as explore different conventional and advanced tools for Deepfake detection. A specific dataset has also been built that includes both fake and real multimedia contents. This dataset will allow us to verify whether the used image and video forgery detection techniques can detect manipulated multimedia content.
Descripción
Categorías UNESCO
Palabras clave
Deepfake, Dataset Generation, Detection Techniques, Multimedia Manipulation
Citación
Centro
E.T.S. de Ingeniería Informática
Departamento
Sistemas de Comunicación y Control