DeepFakes: Technology, Methods, Trends and Challenges

Dr. Symeon Papadopoulos is a Senior Researcher with the Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece. He holds an electrical and computer engineering diploma from the Aristotle University of Thessaloniki, a Professional Doctorate in Engineering from the Technical University of Eindhoven, a Master’s in Business Administration from the Blekinge Institute of Technology and a PhD in Computer Science from the Aristotle University of Thessaloniki. His research interests lie at the intersection of multimedia understanding, social network analysis, information retrieval, big data management and artificial intelligence. Dr. Papadopoulos has co-authored more than 30 papers in refereed journals, 10 book chapters and 100 papers in international conferences, 3 patents, and has edited two books. He has participated in a number of relevant EC FP7 and H2020 projects in the areas of media convergence, social media and artificial intelligence, including WeVerify, HELIOS, FuturePulse, InVID, REVEAL and SocialSensor. He currently coordinates the H2020 MediaVerse project and is a member of the coordinating team of the AI4Media Network of Excellence. During the last years, he has been leading the Media Verification team (MeVer,, focusing on the development of tools for the detection and analysis of multimedia- and social media-based disinformation.

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DeepFakes pose an increasing risk to democratic societies as they threaten to undermine the credibility of audiovisual material as evidence of real-world events. The technological field of DeepFakes is highly evolving with new generation methods constantly improving the quality, convincingness and ease of generation of synthetic content, and new detection methods aiming at detecting as many as possible cases of synthetic content generation and manipulation. The lecture will provide a short overview of the technology behind DeepFake content generation and detection, highlighting the main methods and tools available, and discussing some ongoing trends. It will also briefly discuss our experience with developing, evaluating, and deploying a DeepFake detection service in the context of the WeVerify and AI4Media projects.