RPSG generates realistic synthetic replicas of private text by combining private seeds with public LLMs and a formal differential privacy mechanism in candidate selection.
Since we do not rely on data collected across time windows, our evaluation avoids the confound- ing effects of temporal drift that can lead to inflated MIA results
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Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
RPSG generates realistic synthetic replicas of private text by combining private seeds with public LLMs and a formal differential privacy mechanism in candidate selection.