2026
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
ICLR 2026poster
Fine-tuning on open-source Large Language Models (LLMs) with proprietary data is now a standard practice for downstream developers to obtain task-specific models. Surprisingly, we reveal a new and concerning risk along with the practice: the provider of the open-source LLMs can later extract the pri…