Warming up on pseudo-data before DP fine-tuning improves LLM-based private tabular generation on several datasets, with the out-of-distribution variant remaining DP-compliant.
Language models are realistic tabular data generators
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DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators
Warming up on pseudo-data before DP fine-tuning improves LLM-based private tabular generation on several datasets, with the out-of-distribution variant remaining DP-compliant.