Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
Deep learning for diverse data types steganalysis: A review
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis is aimed …
security. Steganography seeks to conceal communications, whereas steganalysis is aimed …
GAN-based spatial image steganography with cross feedback mechanism
Steganography has been widely used to realize covert communication with multimedia
content. By simulating the competition between a generator and a discriminator in a …
content. By simulating the competition between a generator and a discriminator in a …
Deep learning in steganography and steganalysis
M Chaumont - Digital media steganography, 2020 - Elsevier
For almost 10 years, the detection of a hidden message in an image has been mainly
carried out by the computation of rich models (RMs), followed by classification using an …
carried out by the computation of rich models (RMs), followed by classification using an …
Lightweight and effective deep image steganalysis network
S Weng, M Chen, L Yu, S Sun - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
In this letter, a lightweight and effective deep steganalysis network (DSN) with less than
400,000 parameters, called LWENet, is proposed, which focuses on increasing the …
400,000 parameters, called LWENet, is proposed, which focuses on increasing the …
Steganography embedding cost learning with generative multi-adversarial network
Since the generative adversarial network (GAN) was proposed by Ian Goodfellow et al. in
2014, it has been widely used in various fields. However, there are only a few works related …
2014, it has been widely used in various fields. However, there are only a few works related …
A new adversarial embedding method for enhancing image steganography
Image steganography aims to embed secret messages into cover images in an
imperceptible manner. While steganalysis tries to identify stegos from covers, which is a …
imperceptible manner. While steganalysis tries to identify stegos from covers, which is a …
A novel gradient-guided post-processing method for adaptive image steganography
G Xie, J Ren, S Marshall, H Zhao, R Li - Signal Processing, 2023 - Elsevier
Designing an effective cost function has always been the key in image steganography after
the development of the near-optimal encoders. To learn the cost maps automatically, the …
the development of the near-optimal encoders. To learn the cost maps automatically, the …
Image steganography approaches and their detection strategies: A survey
Steganography is the art and science of hidden (or covered) communication. In digital
steganography, the bits of image, video, audio and text files are tweaked to represent the …
steganography, the bits of image, video, audio and text files are tweaked to represent the …
Ai-generated image detection using a cross-attention enhanced dual-stream network
With the rapid evolution of AI Generated Content (AIGC), forged images produced through
this technology are inherently more deceptive and require less human intervention …
this technology are inherently more deceptive and require less human intervention …