arXiv (OAI Expanded)
open access
RAPID: A Real-Time Defense Against Unauthorized Model Distillation for Text-to-Image Services
Diffusion-based text-to-image (T2I) models are increasingly used for visual content creation, making their generation capability a valuable intellectual property asset. However, this capability is vulnerable to black-box output-based distillation, where an adversary queries the service, collects pro
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- RAPID: A Real-Time Defense Against Unauthorized Model Distillation for Text-to-Image Services#919281
- Learning Normal Diffusion Dynamics for Backdoor Defense in Text-to-Image Models#1144515
- Learning Normal Diffusion Dynamics for Backdoor Defense in Text-to-Image Models#1136766
- Safeguarding Text-to-Image Generative Models Against Unauthorized Knowledge Distillation#216724
- Persistent Watermarking of Text-to-Image Models#1143991
Record · ID 1109845
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive