On the Evidentiary Limits of Membership Inference for Copyright Auditing

Murat Bilgehan Ertan, Emirhan Böge, Min Chen +2

As large language models (LLMs) are trained on increasingly opaque corpora, membership inference attacks (MIAs) have been proposed to audit whether copyrighted texts were used duri…