Assessing database privacy using the area under the receiver-operator characteristic curve
Assessing database privacy using the area under the receiver-operator characteristic curve
复制标题
使用接收者-操作者特征曲线下的面积评估数据库隐私
DOI：
10.1007/s10742-010-0061-3
复制
发表时间：
2010
影响因子：
1.5
通讯作者：
R. Aseltine
中科院分区：
文献类型：
--
作者：
Gregory J. Matthews;O. Harel;R. Aseltine
保密文献中最紧迫的问题之一是隐私的量化。其中一个提议，$$ \n $-差分隐私，从绝对的隐私保证转向相对的隐私保证。然而，选择一个合适的$$ \n $$是困难的，因为它的解释是不清楚的。此外，当比较不同的隐私保护技术时，不能通过简单地比较$$ \n $$的相应值来进行直接比较。这项工作的目的是提供一种措施，允许直接比较不同的隐私计划，更容易解释。反过来，这将有助于有关多大程度的隐私是可以接受的政策辩论。我们的建议将问题设置在假设检验框架中，并使用受试者-操作者特征（ROC）曲线下的面积作为隐私的衡量标准。
One of the most pressing issues in the confidentiality literature is the quantification of privacy. One proposal, $$ \epsilon $$-differential privacy, moves away from absolute guarantees of privacy to relative guarantees. However, the selection of an appropriate $$ \epsilon $$ is difficult because its interpretation is unclear. Further, when comparing different privacy preserving techniques to one another, a direct comparison cannot be made by simply comparing the respective values of $$ \epsilon $$. The aim of this work is to provide a measure that allows for direct comparison across different privacy schemes and is more easily interpreted. In turn, this will aid in policy debate pertaining to how much privacy is acceptable. Our proposal sets the problem in a hypothesis testing framework and uses the area under the receiver-operator characteristic (ROC) curve as a measure of privacy.