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Differentially Private Synthetic Data Generation via LLM Prompting

Today we describe an inference-only approach to generating differentially private synthetic data via prompting off-the-shelf large language models with many examples in parallel and aggregating their responses in a privacy-preserving manner. Learn more at https://
goo.gle/4izufJT

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