R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys

Wei Dong, Juanru Fang, K. Yi, Yuchao Tao, Ashwin Machanavajjhala
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引用次数: 1

Abstract

Answering SPJA queries under differential privacy (DP), including graph pattern counting under node-DP as an important special case, has received considerable attention in recent years. The dual challenge of foreign-key constraints and self-joins is particularly tricky to deal with, and no existing DP mechanisms can correctly handle both. For the special case of graph pattern counting under node-DP, the existing mechanisms are correct (i.e., satisfy DP), but they do not offer nontrivial utility guarantees or are very complicated and costly. In this paper, we propose the first DP mechanism for answering arbitrary SPJA queries in a database with foreign-key constraints. Meanwhile, it achieves a fairly strong notion of optimality, which can be considered as a small and natural relaxation of instance optimality. Finally, our mechanism is simple enough that it can be easily implemented on top of any RDBMS and an LP solver. Experimental results show that it offers order-of-magnitude improvements in terms of utility over existing techniques, even those specifically designed for graph pattern counting.
R2T:带有外键的差分私有查询求值的实例最优截断
在差分隐私(DP)下的SPJA查询的回答,包括作为重要特例的节点-DP下的图模式计数,近年来受到了广泛的关注。处理外键约束和自连接的双重挑战特别棘手,现有的DP机制无法正确处理这两个问题。对于节点DP下的图模式计数的特殊情况,现有的机制是正确的(即满足DP),但它们不能提供非平凡的效用保证,或者非常复杂和昂贵。在本文中,我们提出了第一种DP机制,用于在具有外键约束的数据库中回答任意SPJA查询。同时,它实现了一个相当强的最优性概念,这可以看作是实例最优性的一个小而自然的放松。最后,我们的机制非常简单,可以在任何RDBMS和LP求解器上轻松实现。实验结果表明,它在效用方面比现有技术提供了数量级的改进,即使是那些专门为图形模式计数设计的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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