paper
Privacy-Preserving RAG via Multi-Agent Semantic Rewriting
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privacy-preserving-rag-via-multi-agent-semantic-rewriting-6ce93bc0·1 events·first seen 24h agoAliases: Privacy-Preserving RAG via Multi-Agent Semantic Rewriting
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Multi-agent semantic rewriting framework for privacy-preserving RAG
A new arXiv preprint proposes a three-agent framework for sanitizing retrieved content in RAG pipelines by performing privacy extraction, semantic analysis, and reconstruction as an offline preprocessing step. Evaluated on ChatDoctor and Wiki-PII datasets across six LLMs, the approach reduces targeted information exposure in LLaMA-3-8B from 144 baseline instances to 1, while maintaining contextual fidelity (BLEU-1 of 0.122 vs. SAGE's 0.117). The framework introduces no additional online inference latency since rewriting is done offline. Source code is publicly released.