Stanisław Pawlak

Amplifying Membership Signal Through Chained Regeneration

Wojciech Łapacz, Stanisław Pawlak

The tendency of large generative models to memorize training data makes sample verification critical for privacy auditing and copyright enforcement. Current membership (MIA) and dataset inference (DI) attacks often rely on one-shot generations, which yield weak signals and limite…Read more