Beyond User-Side Defenses: Image Protection in Open-Weight Diffusion Models
Model providers can support image protection, but open-weight deployment introduces practical constraints.
ProofPaper ↗
Key points
- We propose four requirements: protection effectiveness, clean fidelity, compatibility, and tamper resistance.
- We incorporate long-horizon attack simulations to strengthen resistance to protection removal.
- Experiments with a single protection tool show improved resistance to re-alignment at a cost to clean fidelity, motivating further research toward practical model-side protection.
Sources (1)
- [1]Beyond User-Side Defenses: Image Protection in Open-Weight Diffusion ModelsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 12, 02:15 PM
Model providers can support image protection, but open-weight deployment introduces practical constraints.
We propose four requirements: protection effectiveness, clean fidelity, compatibility, and tamper resistance.
Extractive summary: sentences quoted from the sources.
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