ملف الباحث

M. Giomi

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. A Unified Framework for Quantifying Privacy Risk in Synthetic Data

    2022 · arXiv (Cornell University)

    Synthetic data is often presented as a method for sharing sensitive information in a privacy-preserving manner by reproducing the global statistical properties of the original data without disclosing sensitive information about any individual. In practice, …