Deepfake generation: evaluating state of the art generative networks

Rocco, Fabrizio (A.A. 2020/2021) Deepfake generation: evaluating state of the art generative networks. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Marco Querini, pp. 31. [Bachelor's Degree Thesis]

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Literature review. Deepfake generation. Deepfake detection. Deepfakes and disinformation. Social impact. Deepfake generation. Variational autoencoders. Application. Generative adversarial networks. StyleGAN.


Bibliografia: pp. 29-31.

Thesis Type: Bachelor's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair: Artificial intelligence and machine learning
Thesis Supervisor: Querini, Marco
Academic Year: 2020/2021
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 25 Oct 2021 09:56
Last Modified: 25 Oct 2021 09:56


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