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 …

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

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 …

The rise of generative neural networks has triggered an increased demand for intellectual
property (IP) protection in generated content. Deep watermarking techniques, recognized for …

Integrating watermarks into generative images is a critical strategy for protecting intellectual
property and enhancing artificial intelligence security. This paper proposes Plug-in …

Image steganography attempts to imperceptibly hide the secret image within the cover
image. Most of the existing deep learning-based steganography approaches have excelled …

Sterilization refers to the method of removing hidden information from images, effectively
eradicating malicious data embedded within digital media. Existing methods are hampered …

Digital watermarking technology has wide application prospects due to its excellent
performance in copyright protection and traceability. However, there are still some gaps in …

Network functions virtualization enables tenants to outsource their service function chains
(SFCs) to third-party clouds for better agility and cost-effectiveness. However, outsourcing …

Recently, deep learning-based image watermarking methods have been proposed for
copyright protection, which are robust to common post-processing operations. However …