Narrative review examines differential privacy frameworks in confidential data analysis, highlighting key challenges in translating mathematical guarantees into practical applications.
Private data analysis-the useful analysis of confidential data-requires a rigorous and practicable definition of privacy. Differential privacy, an emerging standard, is the subject of intensive investigation in several diverse research communities. We review the definition, explain its motivation, and discuss some of the challenges to bringing this concept to practice.
No takes yet. Share an insight, caveat, or question.
Dwork et al. (2012) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: