Membership is Ownership: A Robust Ownership Verification Framework for Diffusion Models
Large-scale diffusion models have fueled numerous profitable downstream applications for AI-related businesses, including visual editing and content creation. Meanwhile, due to the huge amount of resource consumption (e.g., computation and high-quality data) during training, such diffusion models are deemed valuable intellectual property (IP) for tech companies like OpenAI and Google. Yet, the IP assets are vulnerable to various unauthorized uses by adversaries seeking to steal models for customized, usually commercial applications. Some existing approaches have explored IP protection for AI models; however, they mostly face structural limitations in common --- using a training-time water...
| Authors | Feng Jiang, Zuobin Xiong, An Huang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 28 August 2026 |
| Last updated at source | 28 August 2026 |
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