Invisible steganography via generative adversarial networks

• Published in: Multimedia tools and applications Vol. 78; no. 7; pp. 8559 - 8575
• Main Authors: Zhang, Ru, Dong, Shiqi, Liu, Jianyi
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2019; Springer Nature B.V
• Subjects: Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Divergence; Generative adversarial networks; Layouts; Machine learning; Multimedia Information Systems; Special Purpose and Application-Based Systems; Steganography; Visibility; Generative adversarial networks; Convolutional neural network; Image steganography

Nowadays, there are plenty of works introducing convolutional neural networks (CNNs) to the steganalysis and exceeding conventional steganalysis algorithms. These works have shown the improving potential of deep learning in information hiding domain. There are also several works based on deep learni...