RPSG generates realistic synthetic replicas of private text by combining private seeds with public LLMs and a formal differential privacy mechanism in candidate selection.
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023, pages 433:1–433:19
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.