DP-SIPS:用于区分私有分区选择的更简单、更可扩展的机制

Marika Swanberg, Damien Desfontaines, Samuel Haney
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引用次数: 0

摘要

分区选择(或集合联合)是差异私有机制设计中的一个重要原语:在每个用户贡献一个项列表的数据库中,目标是在差异隐私下发布尽可能多的这些项。在这项工作中,我们提出了一种新的差分私有分区选择机制。这种机制,我们称之为{DP-SIPS},非常简单:它包括在数据集上多次迭代朴素算法,从数据集中删除释放的分区,同时在每一步增加隐私预算。这种方法保留了原始机制的可伸缩性优势,但它的实用性比以前工作中开发的更复杂的方法要好。
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DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection
Partition selection, or set union, is an important primitive in differentially private mechanism design: in a database where each user contributes a list of items, the goal is to publish as many of these items as possible under differential privacy. In this work, we present a novel mechanism for differentially private partition selection. This mechanism, which we call {DP-SIPS}, is very simple: it consists of iterating the naive algorithm over the data set multiple times, removing the released partitions from the data set while increasing the privacy budget at each step. This approach preserves the scalability benefits of the naive mechanism, yet its utility compares favorably to more complex approaches developed in prior work.
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