In recent years, internet technology has grown in advance, and multimedia data-sharing
growth rates have skyrocketed. As a result, protecting multimedia data in digital networks …

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 …

We revisit watermarking techniques based on pre-trained deep networks, in the light of self-
supervised approaches. We present a way to embed both marks and binary messages into …

Steganography usually modifies cover media to embed secret data. A new steganographic
approach called generative steganography (GS) has emerged recently, in which stego …

Extensive research has been conducted on image steganography and watermarking
algorithms, owing to their crucial rules in secret data transmission, copyright protection, and …

Blind watermarking provides powerful evidence for copyright protection, image
authentication, and tampering identification. However, it remains a challenge to design a …

The advancement of secure communication and identity verification fields has significantly
increased through the use of deep learning techniques for data hiding. By embedding …

Currently, digital mobile devices, especially smartphones, can be used to acquire
information conveniently through photograph taking. To protect information security in this …

In the existing deep learning-based watermarking models, extracted image features for
fusing with watermark are not abundant enough and more critically, and essential features …

Steganography is a technique that hides secret messages into a public multimedia object
without raising suspicion from third parties. However, most existing works cannot provide …