分析,设计和实施一个用户友好的差异化隐私应用程序
Reynardo Tjhin1, Muhammad Sajjad Akbar1, Clement Canonne1
1School of Computer Science, Faculty of Engineering, J12-Computer Science Building, University of Sydney, Sydney, NSW 2050, Australia.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
本研究介绍了一个用户友好的差异隐私 (DP) 网络应用程序,使数据隐私技术更容易获得. 它展示了查询和数据集的DP,识别了图书馆中的实施差距.
科学领域:
- 计算机科学 计算机科学
- 数据 隐私 数据 隐私 数据
- 人工智能的人工智能
背景情况:
- 由于链接攻击风险,保护公共数据中的个人隐私至关重要.
- 差异隐私 (DP) 提供了强大的隐私,但由于其复杂性,非专家往往无法访问.
研究的目的:
- 开发一个用户友好的Web应用程序,弥合DP理论和实践之间的差距.
- 提高公众对差异性隐私机制的理解和实际应用.
主要方法:
- 开发了一个具有查询和数据集私有化功能的Web应用程序.
- 使用OpenDP库来实现差异性隐私机制.
- 在OpenDP库的最大和最小查询实现中发现了差异.
主要成果:
- 该应用程序成功地展示了统计查询和数据集私有化DP.
- 确定了理论DP概念与OpenDP库实现之间的差异.
- 建立了使用OpenDP进行数据集私有化的基础框架.
结论:
- 开发的Web应用程序增强了对差异隐私的可访问性和理解.
- 在OpenDP库中发现的实施缺陷突出显示了需要改进的领域.
- 该工具作为教育资源,有助于解决实际的DP挑战.
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