Researchers have developed PromptGraph, a novel method for sanitizing prompts sent to Large Language Models (LLMs) to enhance privacy. This approach models prompts as attributed graphs, where nodes represent individual spans of text and edges capture the contextual dependencies between them. By analyzing these relationships, PromptGraph can identify and mitigate privacy risks that arise from associations between seemingly innocuous pieces of information, offering a more balanced approach to privacy and utility compared to existing methods that only consider individual spans. AI
IMPACT Enhances privacy for sensitive data sent to cloud-based LLMs by modeling contextual relationships within prompts.
RANK_REASON Research paper detailing a new method for LLM prompt sanitization.
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- alphaXiv
- arXiv
- CatalyzeX
- Connected Papers
- DagsHub
- Gotit.pub
- Hugging Face
- Large Language Model
- Litmaps
- PromptGraph
- ScienceCast
- Scite
- LLM
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