TweepFake: About detecting deepfake tweets.
The recent advances in language modeling significantly improved the generative capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language model that can autonomously generate coherent, non-trivial and human-like text samples. Since then, ever more powerful text generat...
Guardado en:
Autores principales: | Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, Maurizio Tesconi |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f931b7470e03463eb28a4bce3caa5e05 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
por: Vajira Thambawita, et al.
Publicado: (2021) -
Deepfakes in Ophthalmology
por: Jimmy S. Chen, MD, et al.
Publicado: (2021) -
Fooled twice: People cannot detect deepfakes but think they can
por: Nils C. Köbis, et al.
Publicado: (2021) -
The Forgery of Deepfake and the “Advent” of Artificial Intelligence
por: Edmondo Grassi
Publicado: (2021) -
Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision
por: Gihun Lee, et al.
Publicado: (2021)