遇见数据集

Supplementary Material: From Privacy-Utility Trade-offs to Policies

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Zenodo2026-04-29 更新2026-05-29 收录
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Note: This record is currently fully anonymized to comply with double-blind peer review requirements. Author metadata and affiliations will be updated upon paper acceptance. This dataset and document serve as the supplementary material for the research paper: "From Privacy-Utility Trade-offs to Policies: Optimized Anonymization Recommendations for Data Trustees in Data Spaces". It contains extended evaluation results, metric tables, and visual failure mode illustrations for 11 spatial anonymization methods evaluated on a real-world dataset of 2,147 forest cadastral parcels. Furthermore, it includes the extended adversarial threat model results (Homogeneity, Background Knowledge, and Satellite Correlation scores) and the parameter sensitivity analysis for H3 grid and Geohash resolutions.

注意:本数据集记录目前已完成完全匿名处理,以符合双盲同行评审的相关要求。待论文录用后,将更新作者元数据与所属机构信息。 本数据集与配套文档为研究论文《隐私-效用权衡至策略制定:面向数据空间中数据受托人的优化匿名化推荐》(From Privacy-Utility Trade-offs to Policies: Optimized Anonymization Recommendations for Data Trustees in Data Spaces)的补充材料。 本数据集包含针对11种空间匿名化方法(spatial anonymization methods)的拓展评估结果、指标表格,以及在包含2147宗森林地籍地块的真实世界数据集上得到的可视化失效模式示意图。 此外,本数据集还涵盖拓展对抗性威胁模型结果(含同质性、背景知识与卫星相关性评分),以及针对H3网格(H3 grid)与Geohash分辨率的参数敏感性分析。

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Zenodo
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2026-04-29
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