Statistical Learning Based Blind Image Watermarking Approach

F Peng, X Wang, Y Li, P Niu - Knowledge-Based Systems, 2024 - Elsevier
Image watermarking technology poses a significant challenge, requiring a delicate balance
between robustness, imperceptibility, and capacity. To solve the balancing problem, a …

Provably Unlearnable Examples

D Wang, M Xue, B Li, S Camtepe, L Zhu - arXiv preprint arXiv:2405.03316, 2024 - arxiv.org
The exploitation of publicly accessible data has led to escalating concerns regarding data
privacy and intellectual property (IP) breaches in the age of artificial intelligence. As a …

Robust watermarking against arbitrary scaling and cropping attacks

S Wu, W Lu, X Yin, R Yang - Signal Processing, 2025 - Elsevier
Digital watermarking technology has wide application prospects due to its excellent
performance in copyright protection and traceability. However, there are still some gaps in …

Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation

R Li, X Zhang, Z Xu, Y Zhang, J Zhang - arXiv preprint arXiv:2405.16596, 2024 - arxiv.org
With the advent of personalized generation models, users can more readily create images
resembling existing content, heightening the risk of violating portrait rights and intellectual …