AINeutralarXiv – CS AI · Mar 37/107
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SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
Researchers propose SKeDA, a new watermarking framework for text-to-video AI models that addresses content authenticity and copyright protection concerns. The system uses shuffle-key-based sampling and differential attention to maintain watermark robustness against video distortions while preserving generation quality.