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About this paper
Runyi Li, Xuanyu Zhang, Zhipei Xu, Yongbing Zhang, Jian Zhang
Researchers from Peking University and Harbin Institute of Technology developed "Protect-Your-IP," a framework that integrates proactive watermarking with passive attribution to enable source-tracing and specific model identification for AI-generated content. The system robustly recovers copyright information and identifies personalized generation methods, demonstrating adaptability to new AI models through incremental learning.
Key insights
- Combining proactive watermarking with passive attribution offers a comprehensive solution for IP protection, enabling both source-tracing and model identification for AI-generated content without needing access to the generative model.
- Invisible watermarks can be embedded robustly enough to persist through various personalized generation processes, allowing for later extraction and identification.
- Incremental learning is crucial for maintaining the effectiveness of protection systems against the rapid evolution and emergence of new personalized AI generation methods.
Summary by alphaXiv.
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