Data hiding is the art of concealing messages with limited perceptual changes. Recently,
deep learning has enriched it from various perspectives with significant progress. In this …

Image hiding aims to hide a secret image into a cover image in an imperceptible way, and
then recover the secret image perfectly at the receiver end. Capacity, invisibility and security …

A review of the deep learning based image steganography techniques is presented in this
paper. For completeness, the recent traditional steganography techniques are also …

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 …

Single image information hiding aims to obtain a stegano image by hiding a secret image
within a cover image. Recently, deep neural network (DNN) based information hiding …

A current trend of research focuses on artificial intelligence based cryptography which
although proposed almost thirty years ago could not attract much attention. Abadi and …

One of the highest priorities in the era of information technology is to achieve an accurate
and effective system for hiding security data. One of the goals of steganography is …

Steganography is the process of concealing a secret message in ordinary digital media by
making small modifications that try to preserve cover statistics. In this paper, a novel unified …

Image steganography is a long-standing image security problem that aims at hiding
information in cover images. In recent years, the application of deep learning to …

Numerous studies have recently advanced the state-of-the art for representing videos
through an implicit neural network (INR). As these models become increasingly ubiquitous …