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Ryan Shea

5 accepted papers

2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models

EMNLP 2022main

Protecting large language models from privacy leakage is becoming increasingly crucial with their wide adoption in real-world products. Yet applying *differential privacy* (DP), a canonical notion with provable privacy guarantees for machine learning models, to those models remains challenging due t…