Sökning: "deepfake"
Visar resultat 1 - 5 av 23 uppsatser innehållade ordet deepfake.
1. Could you imagine that face on that body? : A study of deepfakes and performers’ rights in EU law
Master-uppsats, Linköpings universitet/Affärsrätt; Linköpings universitet/Filosofiska fakultetenSammanfattning : The natural desire to express the human experience through song, dance, speech and movement have characterised culture and society throughout history. From frantic dances around fires, to comedies and dramas at the ancient theatres, to sold out arena concerts, all driven by the same fundamental spirit of creation and expression. LÄS MER
2. Social Media's Take on Deepfakes: Ethical Concerns in the Public Discourse
Kandidat-uppsats, Uppsala universitet/InformationssystemSammanfattning : The rapid advancement of artificial intelligence has led to the emergence of deepfake, digital media that has been manipulated to replace a person's likeness with another. This technology has seen significant improvements, becoming easier to use and producing results increasingly difficult to distinguish from reality. LÄS MER
3. Deepfakes de lege lata och de lege ferenda : En analys av det gällande och framtida rättsläget kring deepfakes
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Juridiska institutionenSammanfattning : The issues surrounding the digital use and spread of harmful manipulated content created by AI in the form of deepfakes have increased exponentially. This has given rise to a number of legal questions, such as whether or not the current data protection law is sufficient to handle these problems. LÄS MER
4. Accuracy and Robustness of State of the Art Deepfake Detection Models
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the evolution of artificial intelligence a lot of people have started getting worried about the potential dangers of deepfake images and videos, such as spreading fake videos of influential people. Several solutions to this problem have been proposed with some of the most efficient being convolutional neural networks for face detection in order to differentiate real images from deepfake images generated with a generative adversarial network. LÄS MER
5. Deepfake detection by humans : Face swap versus lip sync
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The term “deepfakes” refers to media content that has been manipulated using deep learning. This thesis project seeks to answer the question of how well humans are able to detect deepfakes. In particular, the project compares people’s ability to detect deepfakes between two different deepfake categories; face swap and lip sync. LÄS MER