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 …

AI-generated video has revolutionized short video production, filmmaking, and personalized
media, making video local editing an essential tool. However, this progress also blurs the …

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

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 …

Recent breakthroughs in zero-shot voice synthesis have enabled imitating a speaker's voice
using just a few seconds of recording while maintaining a high level of realism. Alongside its …

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

Instruction-driven image editing allows users to quickly edit an image according to text
instructions in a forward pass. Nevertheless, malicious users can easily exploit this …

In recent years, with the popularity of social media applications, massive digital images are
available online, which brings great convenience to image recreation. However, the use of …

Current image watermarking methods are vulnerable to advanced image editing techniques
enabled by large-scale text-to-image models. These models can distort embedded …