Cargando…
Deepfakes Generation and Detection: A Short Survey
Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer to face multimedia content, which has been di...
Autor principal: | Akhtar, Zahid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863015/ https://www.ncbi.nlm.nih.gov/pubmed/36662116 http://dx.doi.org/10.3390/jimaging9010018 |
Ejemplares similares
-
Audio deepfakes: A survey
por: Khanjani, Zahra, et al.
Publicado: (2023) -
The Face Deepfake Detection Challenge
por: Guarnera, Luca, et al.
Publicado: (2022) -
Deepfake detection with and without content warnings
por: Lewis, Andrew, et al.
Publicado: (2023) -
A Robust Approach to Multimodal Deepfake Detection
por: Salvi, Davide, et al.
Publicado: (2023) -
The Epistemic Threat of Deepfakes
por: Fallis, Don
Publicado: (2020)