English(EN) CoRTeC: A Differentially Private Release for Synthetic Tabular Data, Decodable by Any Generator

新的CoRTeC方法生成差分隐私合成表格数据

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

研究人员开发了CoRTeC，一种符合差分隐私标准的新型合成表格数据发布方法。该方法通过发布一个小的、有噪声的计数文件来限制隐私预算，任何生成器（包括语言模型）都可以使用该文件来创建合成数据，而无需直接访问真实记录。CoRTeC生成的合成数据在训练分类器方面表现出强大的性能，其AUC得分接近在真实数据上训练的得分，同时有效保护了个人隐私。 AI

影响赋能敏感表格数据的安全共享和利用，用于AI模型训练。

排序理由该集群描述了一种具有差分隐私的合成数据生成新方法，该方法在学术论文中有详细介绍。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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Signal score: 26 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一种具有差分隐私的合成数据生成新方法，该方法在学术论文中有详细介绍。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Calister Nnona · 2026-11-05 05:00

CoRTeC：用于合成表格数据的差分隐私发布，可由任何生成器解码

arXiv:2611.06342v1 Announce Type: cross Abstract: The records that could train the most useful models, such as a hospital's patient files, are often the ones an institution cannot share. We propose CoRTeC, a method that releases synthetic versions of such records under differenti…

本文如何被排名

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CoRTeC：用于合成表格数据的差分隐私发布，可由任何生成器解码

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