In the era of AI-generated content (AIGC) malicious tampering poses imminent threats to
copyright integrity and information security. Current deep image watermarking while widely …

Recently, Generative Diffusion Models (GDMs) have showcased their remarkable
capabilities in learning and generating images. A large community of GDMs has naturally …

Abstract Neural Radiance Fields (NeRF) have the potential to be a major representation of
media. Since training a NeRF has never been an easy task, the protection of its model …

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 …

With the advent of the screen‐reading era, the confidential documents displayed on the
screen can be easily captured by a camera without leaving any traces. Thus, this paper …

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

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

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

Malicious Deepfakes have led to a sharp conflict over distinguishing between genuine and
forged faces. Although many countermeasures have been developed to detect Deepfakes …

In the booming video era, video segmentation attracts increasing research attention in the
multimedia community. Semi-supervised video object segmentation (VOS) aims at …