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 …

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

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 …

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

Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative Artificial …

Increased delegation of commercial, scientific, governmental, and personal activities to AI
agents—systems capable of pursuing complex goals with limited supervision—may …

This paper presents a comprehensive survey of deep learning-based image watermarking;
this technique entails the invisible embedding and extraction of watermarks within a cover …

Due to exponential growth of digital world the online data is also drastically increasing. This
multimedia data may contain text, video, audio, and images. After the Covid-19 pandemic …

Artificial Intelligence Generated Content (AIGC) is one of the latest achievements in AI
development. The content generated by related applications, such as text, images and …

Efficient and reliable storage, analysis, and transmission of medical images are imperative
for accurate diagnosis, treatment, and management of various diseases. Since quantum …