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 …

Automatic cost learning for steganography based on deep neural networks is receiving
increasing attention. Steganographic methods under such a framework have been shown to …

Recent steganalytic schemes reveal embedding traces in a promising way by using
convolutional neural networks (CNNs). However, further improvements, such as exploring …

Recently, Steganography is an outstanding research area which used for data protection
from unauthorized access. Steganography is defined as the art and science of covert …

Image steganography is the art and science of secure communication by concealing
information within digital images. In recent years, the techniques of steganographic cost …

Adaptive image steganography is the process of embedding secret messages into
undetectable regions of a cover image through the design of a distortion function by a …

Context-aware steganography techniques are quite popular due to their robustness.
However, steganography techniques are misused to hide inappropriate information in some …

Over the past few years, detection performance improvements of deep-learning based
steganalyzers have been usually achieved through structure expansion. However …

Recent research has shown that non-additive image steganographic frameworks effectively
improve security performance through adjusting distortion distribution. However, as far as …

In the realm of digital communications, steganography and steganalysis have become a
solution for securely exchanging covert information. This survey initiates with an exploration …