AI RESEARCH
DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
arXiv CS.LG
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ArXi:2602.22699v2 Announce Type: replace-cross SQL is the de facto interface for exploratory data analysis; however, releasing exact query results can expose sensitive information through membership or attribute inference attacks. Differential privacy (DP) provides rigorous privacy guarantees, but in practice, DP alone may not satisfy governance requirements such as the \emph{minimum frequency rule}, which requires each released group (cell) to include contributions from at least $k$ distinct individuals.