Who Bears Privacy Risk? Model-Dependent Memorization in Synthetic Tabular Data
Privacy risk in synthetic tabular data is typically evaluated as an aggregate property: how much leakage exists, rather than who is exposed. But aggregate metrics treat individuals as undifferentiated, hiding whether certain records or subgroups are systematically more exposed than others. If risk is unevenly distribut...