RPSG generates realistic synthetic replicas of private text by combining private seeds with public LLMs and a formal differential privacy mechanism in candidate selection.
Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, and Hao Peng
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UNVERDICTED 2representative citing papers
RLAA is a localized adversarial anonymization framework that adds an arbitrator to filter ghost leaks and enforce rational early stopping, yielding superior privacy-utility trade-offs on benchmarks compared to greedy baselines.
citing papers explorer
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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.
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Look Twice before You Leap: A Rational Framework for Localized Adversarial Anonymization
RLAA is a localized adversarial anonymization framework that adds an arbitrator to filter ghost leaks and enforce rational early stopping, yielding superior privacy-utility trade-offs on benchmarks compared to greedy baselines.