RemoteRAG shows that perturbing query embeddings under an (n,epsilon)-differential privacy style guarantee, then retrieving a slightly larger candidate set, can hide the query from a semi-honest cloud while preserving top-k retrieval in experiments.
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RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
RemoteRAG shows that perturbing query embeddings under an (n,epsilon)-differential privacy style guarantee, then retrieving a slightly larger candidate set, can hide the query from a semi-honest cloud while preserving top-k retrieval in experiments.