NAMESAKES

NAMESAKES: Black-box probe for identity memorization in text-to-image models

Researchers introduce NAMESAKES, a black-box behavioral probe and accompanying dataset for detecting whether text-to-image models have memorized specific individuals' likenesses from training data. The approach requires no reference photos, training data access, or model internals, making it broadly applicable. The dataset covers over one thousand public figures across fame levels, and experiments on state-of-the-art T2I models show the probe reliably distinguishes memorized from unrecognized identities. The work addresses a concrete privacy concern about facial memorization in generative models.