Sampling-based Pseudo-Likelihood for Membership Inference Attacks

Masahiro Kaneko, Youmi Ma, Yuki Wata +1

Large Language Models (LLMs) are trained on large-scale web data, which makes it difficult to grasp the contribution of each text. This poses the risk of leaking inappropriate data…