Falcón López, Sergio AdriánRobles Gómez, Antonio::virtual::2456::600Tobarra Abad, María de los Llanos::virtual::2457::600Pastor Vargas, Rafael::virtual::2458::600Robles Gómez, AntonioTobarra Abad, María de los LlanosPastor Vargas, RafaelRobles Gómez, AntonioTobarra Abad, María de los LlanosPastor Vargas, RafaelRobles Gómez, AntonioTobarra Abad, María de los LlanosPastor Vargas, Rafael2024-05-202024-05-202023https://hdl.handle.net/20.500.14468/12971The 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.eninfo:eu-repo/semantics/restrictedAccessconference proceedingsDeepfakeDataset GenerationDetection TechniquesMultimedia Manipulation