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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Abstract/Index
Literature review. Deepfake generation. Deepfake detection. Deepfakes and disinformation. Social impact. Deepfake generation. Variational autoencoders. Application. Generative adversarial networks. StyleGAN.
References
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 |
| URI: | https://tesi.luiss.it/id/eprint/30522 |
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