Deep learning has been used to address various problems in a range of domains within
both academia and industry. However, the issue of intellectual property with deep learning …

The digital revolution places great emphasis on digital media watermarking due to the
increased vulnerability of multimedia content to unauthorized alterations. Recently, in the …

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 …

Recently, the demand for the generation, sharing, and storage of massive amounts of
multimedia information—especially in the form of images—from different intelligent devices …

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

Recent advances in deep learning (DL) have led to great success in tasks of computer
vision and pattern recognition. Sharing pre-trained DL models has been an important means …

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 …

Intelligence, Machine learning and Deep Neural Network (DNN) driven us to the robust
applications. Such as Image processing, speech recognition, and natural language …

Deep neural networks (DNN) with incomparably advanced performance have been
extensively applied in diverse fields (eg, image recognition, natural language processing …

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 …