一个隐私保护数据平台的设计，用于合作打击人口贩运
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
摘要：
人口贩运受害者的案件记录非常敏感，但分享此类数据的能力对于政府、企业和民间社会的循证实践和政策制定至关重要。我们提出了新的方法来匿名化，发布和探索这些数据，实现为一个管道，产生三个工件：（1）合成数据减轻隐私风险，发布的属性组合可能会链接到已知的个人或团体;（2）聚合数据减轻效用风险，合成数据可能会歪曲官方报告所需的统计数据;以及（3）两个数据集的可视化分析接口，减轻了隐私机制或分析工具可能无法被所有利益相关者理解和使用的可访问性风险。我们提出我们的工作作为一个设计研究的动机是如何改变世界上最大的数据库确定的受害者提供全球合作打击人口贩运的目标。
英文摘要：
Case records on victims of human trafficking are highly sensitive, yet the ability to share such data is critical to evidence-based practice and policy development across government, business, and civil society. We present new methods to anonymize, publish, and explore such data, implemented as a pipeline generating three artifacts: (1) synthetic data mitigating the privacy risk that published attribute combinations might be linked to known individuals or groups; (2) aggregate data mitigating the utility risk that synthetic data might misrepresent statistics needed for official reporting; and (3) visual analytics interfaces to both datasets mitigating the accessibility risk that privacy mechanisms or analysis tools might not be understandable and usable by all stakeholders. We present our work as a design study motivated by the goal of transforming how the world's largest database of identified victims is made available for global collaboration against human trafficking.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
