Watermarking is the process of embedding information into an image that can survive under
distortions, while requiring the encoded image to have little or no perceptual difference with …

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 …

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 …

Recent work has shown that deep neural networks are highly sensitive to tiny perturbations
of input images, giving rise to adversarial examples. Though this property is usually …

Based on the powerful feature extraction ability of deep learning architecture, recently, deep-
learning based watermarking algorithms have been widely studied. The basic framework of …

Deep learning-based digital watermarking frameworks have been widely studied recently.
Most existing methods adopt an``encoder-noise layer-decoder''-based architecture where …

Recent research has demonstrated that adding some imperceptible perturbations to original
images can fool deep learning models. However, the current adversarial perturbations are …

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 …

Significant progress has been made with deep neural networks recently. Sharing trained
models of deep neural networks has been a very important in the rapid progress of research …

With the omnipresence of camera phone and digital display, capturing digitally displayed
image with camera phone are getting widely practiced. In the context of watermarking, this …