AINeutralarXiv – CS AI · 5h ago7/10
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Auditing Training Data in Domain-adapted LLMs: LoRA-MINT
Researchers introduce LoRA-MINT, a methodology for detecting whether specific data samples were used to train fine-tuned large language models, achieving 77-92% precision. This auditing tool addresses growing concerns about intellectual property protection and sensitive data exposure in adapted AI models, with implications for responsible AI deployment.
🏢 Perplexity