A classical method for partition generating function is developed into a tool with wide applications. New expansions of well-known theorems are derived, and new results partitions n n </mm...

Abstract Many data analysis operations can be expressed as a GROUP BY query on an unbounded set of partitions, followed by per-partition aggregation. To make such differentially private, adding noise to each aggregation is not enough: we also need sure that the partitions released private. This problem new, and it was recently formally introduced private union [14]. In this work, continue area ...