What AI says about LLM-JP Membership Inference

LLM JP Membership Inference is a repository implementing membership inference attacks to determine if specific data samples were used to train a machine learning model. It provides both gray-box and black-box attack methods, including loss-based, gradient-based, and reference-based approaches, along with evaluation tools.