Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors
We study supply-chain model-code backdoors that steal sparse high-entropy secrets from local LLM fine-tuning data and enable verifiable black-box recovery after deployment.