media forensics and deepfakes: an overview

"The term deepfake is typically used to refer to a video that has been edited using an algorithm to replace the person in the original video with someone else (especially a public figure) in a way that makes the video look authentic." from Merriam-Webster , Words We're Watching: 'Deepfake', July 31, 2019. DeepFakes (a neologism combining the terms "deep learning" and "fake") are synthetic videos (or images) in which a person's face (and optionally also voice) is replaced with someone else's likeness using deep learning technologies. Journalists and fact-checkers identified highly technical fields like media forensics as being an area where resources could be shared between teams and organizations. Media Forensics and DeepFakes: An Overview L. Verdoliva Published 18 January 2020 Computer Science IEEE Journal of Selected Topics in Signal Processing With the rapid progress in recent years, techniques that generate and manipulate multimedia content can now provide a very advanced level of realism. It combines the research fields of biometrics and media forensics including contributions from academia and industry. As identified elsewhere, the best way to track deepfakes or other synthetic media may be to focus on real-time tools for sourcing enhanced bot activity, detecting darknet organizing . Appealing to a broad readership, introductory chapters provide a comprehensive overview of the . Assessment and Detection. Deepfakes are new forms of audiovisual manipulation that allow people to create realistic simulations of someone's face, voice or actions. Media Forensics and DeepFakes: an overview Luisa Verdoliva Abstract—With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now guar- antee a very advanced level of realism. Overview. Deepfakes are AI-generated media that depict made-up events, sometimes quite realistically. Deepfake creation approaches and tools are continuously improving in terms of result quality and . media forensics and deepfakes: an overview

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