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

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractProtecting 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 …...

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