Sensitivity of deep learning applied to spatial image steganalysis

In recent years, the traditional approach to spatial image steganalysis has shifted to deep learning (DL) techniques, which have improved the detection accuracy while combining feature extraction and classification in a single model, usually a convolutional neural network (CNN). The main contributio...

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Detalles Bibliográficos
Autores principales: Tabares-Soto, Reinel, Arteaga-Arteaga, Harold Brayan, Mora-Rubio, Alejandro, Bravo-Ortíz, Mario Alejandro, Arias-Garzón, Daniel, Alzate-Grisales, Jesús Alejandro, Orozco-Arias, Simon, Isaza, Gustavo, Ramos-Pollán, Raúl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444093/
https://www.ncbi.nlm.nih.gov/pubmed/34604512
http://dx.doi.org/10.7717/peerj-cs.616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444093/
https://www.ncbi.nlm.nih.gov/pubmed/34604512
http://dx.doi.org/10.7717/peerj-cs.616

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