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Dataset Generation and Study of Deepfake Techniques

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dc.contributor.authorFalcón López, Sergio Adrián
dc.contributor.authorRobles Gómez, Antonio
dc.contributor.authorTobarra Abad, María de los Llanos
dc.contributor.authorPastor Vargas, Rafael
dc.date.accessioned2024-05-20T12:03:13Z
dc.date.available2024-05-20T12:03:13Z
dc.date.issued2023
dc.description.abstractThe 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.es
dc.description.versionversión publicada
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12971
dc.language.isoen
dc.publisherSpringer
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentSistemas de Comunicación y Control
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsDeepfake
dc.subject.keywordsDataset Generation
dc.subject.keywordsDetection Techniques
dc.subject.keywordsMultimedia Manipulation
dc.titleDataset Generation and Study of Deepfake Techniqueses
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublication17556659-f434-4220-841d-aac35f492e62
relation.isAuthorOfPublicationb584f8a3-eb01-4a43-9ed7-5075b74224ae
relation.isAuthorOfPublicationf93103de-336d-47ac-886b-e2cbd425ed87
relation.isAuthorOfPublication.latestForDiscovery17556659-f434-4220-841d-aac35f492e62
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