Researchers Propose a Common Privacy Metrics Framework for Synthetic Data

An arXiv paper proposes a common framework for measuring privacy in synthetic data. The work centers on identity disclosure and membership risks, arguing that consistent metrics are needed to assess whether synthetic datasets meaningfully protect individuals.