NIST Diverse Communities Data Excerpts
收藏arXiv2023-11-01 更新2024-06-21 收录
下载链接：
https://doi.org/10.18434/MDS2-2895
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资源简介：
NIST Diverse Communities Data Excerpts是由国家标准技术研究所(NIST)创建的一个数据集，旨在为数据隐私算法提供多样化的基准数据。该数据集包含超过450个去标识化的数据样本，来源于广泛的技术和方法。数据集的设计考虑到了不同人群的多样性和挑战性特征，以确保对去标识化技术的全面评估。此数据集支持算法开发者、数据所有者和理论家评估和比较表格数据去标识化技术，旨在解决数据隐私和分析中的关键问题。
NIST Diverse Communities Data Excerpts is a dataset created by the National Institute of Standards and Technology (NIST) to provide diverse benchmark data for data privacy algorithms. This dataset contains over 450 de-identified data samples sourced from a broad spectrum of technologies and methodologies. The dataset is designed by taking into account the diversity and challenging characteristics of different populations, so as to ensure comprehensive evaluation of de-identification technologies. It supports algorithm developers, data owners and theorists in evaluating and comparing tabular data de-identification techniques, aiming to address critical issues in data privacy and analytics.
提供机构：
国家标准技术研究所 (NIST)
创建时间：
2023-06-21
