A new survey paper categorizes intellectual property protection methods for visual generative AI. It proposes a two-dimensional taxonomy based on control logic (information exposure, generative behavior, attribution) and asset type (data IP, model IP). The paper reviews existing technical defenses, discusses evaluation protocols, and highlights open challenges such as proactive safeguards, standardized evaluation, and robustness against adaptive attacks. AI
IMPACT Provides a structured overview of methods to protect intellectual property in generative AI, aiding researchers and developers.
RANK_REASON The cluster contains a single academic survey paper on a technical topic within AI. [lever_c_demoted from research: ic=1 ai=1.0]
- arXiv
- Attribution & Accountability
- Connected Papers
- Data IP
- Generative Behavior Constraint
- Hugging Face
- Information Exposure Control
- Litmaps
- Model IP
- scite Smart Citations
- Visual Generative AI
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