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 …

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 …

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

The rapid advancement of Large Language Models (LLMs) has significantly enhanced the
capabilities of text generators. With the potential for misuse escalating, the importance of …

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 …

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 …

Cross-channel (eg Screen-to-Camera) robustness is an urgent requirement for modern
watermarking systems. To realize such robustness, training a network that can precisely …

The recent success of deep image watermarking has demonstrated the potential of deep
learning for watermarking, which has drawn increasing attention to deep video …

Notwithstanding offering convenience and entertainment to society, Deepfake face
swapping has caused critical privacy issues with the rapid development of deep generative …