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論文情報
・url: http://arxiv.org/html/2602.22699v1
・title: DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
・abstract: 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. In this paper, we present \textbf{DPSQL+}, a privacy-preserving SQL library that simultaneously enforces user-level $(\varepsilon,δ)$-DP and the minimum frequency rule. DPSQL+ adopts a modular architecture consisting of: (i) a \emph{Validator} that statically restricts queries to a DP-safe subset of SQL; (ii) an \emph{Accountant} that consistently tracks cumulative privacy loss across multiple queries; and (iii) a \emph{Backend} that interfaces with various database engines, ensuring portability and extensibility. Experiments on the TPC-H benchmark demonstrate that DPSQL+ achieves practical accuracy across a wide range of analytical workloads -- from basic aggregates to quadratic statistics and join operations -- and allows substantially more queries under a fixed global privacy budget than prior libraries in our evaluation.
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データ活用と個人情報保護、この矛盾に悩む企業が急増中。差分プライバシーと最低頻度ルールを同時に満たす世界初のSQL技術「DPSQL+」が登場しました。ノイズを加えながらも実用的な精度を保ち、医療・金融・行政など規制の厳しい分野でも安全なデータ分析が可能に。5年後、あなたの会社のデータ分析環境は劇的に変わるかもしれません。