Titlebook: Handbook of Digital Face Manipulation and Detection; From DeepFakes to Mo Christian Rathgeb,Ruben Tolosana,Christoph Busch Book‘‘‘‘‘‘‘‘ 202

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L?sungsvorschl?ge für die übungsbeispieleopment of creative content creation. The emergence and easy accessibility of such techniques, however, also cause potential unprecedented ethical and moral issues. To this end, academia and industry proposed several effective forgery detection methods. Nonetheless, challenges could still exist. (1)

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An Introduction to?Digital Face Manipulation the prominent digital manipulations with special emphasis on the facial content due to their large number of possible applications. Specifically, we cover the principles of six types of digital face manipulations: . entire face synthesis, . identity swap, . face morphing, . attribute manipulation,

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Toward the?Creation and?Obstruction of?DeepFakesvelop and evaluate DeepFake detection?algorithms calls for large-scale datasets. However, current DeepFake datasets suffer from low visual quality and do not resemble DeepFake?videos circulated on the Internet. We present a new large-scale challenging DeepFake video dataset, ., which contains 5,?639

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The Threat of?Deepfakes to?Computer and?Human Visionsts. The concern for the impact of the widespread deepfake?videos on the societal trust in video recordings is growing. In this chapter, we demonstrate how dangerous deepfakes?are for both human and computer visions by showing how well these videos can fool face recognition?algorithms and na?ve human

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