UPDF AI

Broadening the Scope of Differential Privacy Using Metrics

K. Chatzikokolakis,Miguel E. Andrés,N. E. Bordenabe,C. Palamidessi

2013 · DOI: 10.1007/978-3-642-39077-7_5
International Symposium on Privacy Enhancing Technologies · 442 Citations

TLDR

Differential Privacy is one of the most prominent frameworks used to deal with disclosure prevention in statistical databases, ensuring that sensitive information relative to individuals cannot be easily inferred by disclosing answers to aggregate queries.