自然差异性隐私 - - 对保护保障的视角
1CREOS, MIT Libraries, Massachusetts Institute of Technology, Cambridge, MA, United States.
PeerJ. Computer science
|October 9, 2023
概括
自然差异隐私 (NDP) 利用私有计算的硬件,提供强大的隐私损失边界和实用的隐私解决方案. 这种方法有效地实现了隐私原则,弥合了正式和实质性保护.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 隐私工程 隐私工程 隐私工程
背景情况:
- 不同隐私是数据隐私的一个强有力的标准.
- 现有的差异隐私方法可能是计算密集的.
- 对于保护隐私的计算,硬件功能往往未得到充分利用.
研究的目的:
- 引入自然差异隐私 (NDP) 作为一种新的隐私方法.
- 证明新民主党能够提供强有力的隐私保障的能力.
- 探索NDP的实际实施和好处.
主要方法:
- 利用现有的硬件架构功能进行私人计算.
- 开发用于NDP实施的高效算法.
- 分析隐私损失边界和计算效率.
主要成果:
- 新民主党保证对隐私丧失有严格的限制.
- NDP提供了一个实际的解决方案,在隐私中挑战没有免费午餐的定理.
- 提出了NDP的高效实施策略.
结论:
- NDP提出了一种实用和有效的方法来实现差异化的隐私.
- 该方法与既定的隐私原则和框架保持一致.
- NDP强调了硬件能力和正式的隐私保证之间的协同作用.
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