While existing watermarking attack methods can disturb the correct extraction of watermark
information, the visual quality of watermarked images will be greatly damaged. Therefore, a …

As a common security tool, visible watermarking has been widely applied to protect
copyrights of digital images. However, recent works have shown that visible watermarks can …

In recent years, some researchers have been interested in whether robustness and
blindness can be simultaneously secured in a watermarking based on machine learning …

In watermarking, the watermark embedding strength is crucial, and the introduction of the
strength factor can adjust the trade-off between the quality of the encoded image and the …

Digital image watermarking is the process of embedding and extracting a watermark covertly
on a cover-image. To dynamically adapt image watermarking algorithms, deep learning …

Digital image watermarking has justified its suitability for copyright protection and copy
control of digital images. In the past years, various watermarking schemes were proposed to …

With the advance of deep learning, it definitely has achieved the unprecedented success in
the community of artificial intelligence. However, the issue of the intellectual property (IP) …

In recent years, digital watermarking has improved the accuracy and resistance of
watermarked images against many assaults, such as various noises and random dosage …

Deep neural networks (DNNs) have become state-of-the-art in many application domains.
The increasing complexity and cost for building these models demand means for protecting …

Technology advancement has facilitated digital content, such as images, being acquired in
large volumes. However, requirement from the privacy or legislation perspective still …