LoRA-MINT uses perplexity to perform membership inference on LoRA-fine-tuned LLMs, reporting 0.77-0.92 precision across four models and three datasets while outperforming baselines.
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Auditing Training Data in Domain-adapted LLMs: LoRA-MINT
LoRA-MINT uses perplexity to perform membership inference on LoRA-fine-tuned LLMs, reporting 0.77-0.92 precision across four models and three datasets while outperforming baselines.