J. Fitzsimons

Achieving pure differential privacy for statistical queries at the conjectured square-root error rate could redefine benchmarks for privacy-preserving data analysis.

Larger groups can achieve stronger privacy guarantees by allowing more error, with an optimal inverse-square rate of privacy loss.