Currently, most transactions and exchanges are conducted through the Internet thanks to
technological tools, running the risk of the falsification and distortion of information. This is …

The digital content exchange on the Internet is associated with information security risks.
Hiding data in digital images is a promising direction in data protection and is an alternative …

In this paper, we propose a universal screen-shooting robust image watermarking scheme,
which can be used to embed extractable information into on-screen images for copyright …

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 …

Deep-learning based watermarking framework has been extensively studied recently. The
main structure of such framework is an encoder, a noise layer and a decoder. By training …

Deep-learning-based watermarking technique is being extensively studied. Most existing
approaches adopt a similar encoder-driven scheme which we name END (Encoder …

Deploying machine learning applications on edge devices can bring clear benefits such as
improved reliability, latency and privacy but it also introduces its own set of challenges. Most …

In order to protect the copyright of color digital images in the current Internet environment,
this paper proposes a blind color image watermarking scheme based on nonsubsampled …

Digital images have become an important carrier for people to access information in the
information age. However, with the development of this technology, digital images have …

Currently, we are in the area of the digital big data world. Every day, people share billions of
images over Internet from various sources. Ensuring images' authorship rights and illegal …