A novel image steganography method via deep convolutional generative adversarial networks
The security of image steganography is an important basis for evaluating steganography
algorithms. Steganography has recently made great progress in the long-term confrontation …
algorithms. Steganography has recently made great progress in the long-term confrontation …
A novel convolutional neural network for image steganalysis with shared normalization
Image steganalysis is to discriminate innocent images (cover images) and those suspected
images (stego images) with hidden messages. The task is challenging since modifications to …
images (stego images) with hidden messages. The task is challenging since modifications to …
An improved steganography without embedding based on attention GAN
Steganography is an art to hide information in the carriers to prevent from being detected,
while steganalysis is the opposite art to detect the presence of the hidden information. With …
while steganalysis is the opposite art to detect the presence of the hidden information. With …
Image steganography: A review of the recent advances
Image Steganography is the process of hiding information which can be text, image or video
inside a cover image. The secret information is hidden in a way that it not visible to the …
inside a cover image. The secret information is hidden in a way that it not visible to the …
Deep residual learning for image steganalysis
Image steganalysis is to discriminate innocent images and those suspected images with
hidden messages. This task is very challenging for modern adaptive steganography, since …
hidden messages. This task is very challenging for modern adaptive steganography, since …
CNN-based adversarial embedding for image steganography
Steganographic schemes are commonly designed in a way to preserve image statistics or
steganalytic features. Since most of the state-of-the-art steganalytic methods employ a …
steganalytic features. Since most of the state-of-the-art steganalytic methods employ a …
[HTML][HTML] Evolving Generative Adversarial Networks to improve image steganography
Images have been repeatedly used as the perfect environment to hide information through
the use of steganography techniques. Whether messages, documents or even other images …
the use of steganography techniques. Whether messages, documents or even other images …
Spatial image steganography based on generative adversarial network
With the recent development of deep learning on steganalysis, embedding secret
information into digital images faces great challenges. In this paper, a secure steganography …
information into digital images faces great challenges. In this paper, a secure steganography …
Channel attention image steganography with generative adversarial networks
J Tan, X Liao, J Liu, Y Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, extensive research has revealed the enormous potential of deep learning in the
application of image steganography. However, some defects still exist in previous studies on …
application of image steganography. However, some defects still exist in previous studies on …
A survey on deep convolutional neural networks for image steganography and steganalysis
Steganalysis & steganography have witnessed immense progress over the past few years
by the advancement of deep convolutional neural networks (DCNN). In this paper, we …
by the advancement of deep convolutional neural networks (DCNN). In this paper, we …