# Foundation Model Privacy Research: DP-RAG, Split LLM Fine-Tuning, ControlNet Split Learning, and LoRA Risk
> A cluster of papers on privacy-preserving foundation model systems, including differentially private RAG with random projection, split learning privacy risks for LLM fine-tuning, split learning for ControlNet, and privacy risks when sharing LoRA fine-tuned diffusion weights.
Type: research-cluster
Date: 2024-2025
Authors: Dixi Yao
## Direct Links
- [Canonical topic page](https://dixiyao.github.io/topics/foundation-model-privacy/)
- [DP-RAG paper](https://openreview.net/forum?id=5DfhoxRPXh)
- [Split LLM fine-tuning privacy paper](https://ieeexplore.ieee.org/abstract/document/10818584)
- [Split LLM fine-tuning code](https://github.com/TL-System/plato/tree/main/examples/split_learning/llm_split_learning)
- [ControlNet split learning paper](https://openaccess.thecvf.com/content/WACV2025/html/Yao_Towards_Privacy-Preserving_Split_Learning_for_ControlNet_WACV_2025_paper.html)
- [ControlNet split learning code](https://github.com/TL-System/plato/tree/main/examples/split_learning/controlnet_split_learning)
- [LoRA diffusion weight sharing risk paper](https://arxiv.org/pdf/2409.08482)
## Search Queries and Aliases
- foundation model privacy
- LLM privacy
- RAG privacy
- DP-RAG
- differentially private RAG
- split learning LLM privacy
- ControlNet privacy
- LoRA diffusion privacy
- privacy preserving foundation models
## Search Intents
- foundation model privacy papers
- differential privacy RAG random projection
- split learning privacy LLM fine-tuning
- ControlNet split learning privacy
- LoRA diffusion model privacy risks