论文标题
为用户的数据共享决策和理解提供有效的差异隐私通信
Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension
论文作者
论文摘要
差异隐私通过在汇总级别（DP）或个人级别（LDP）上扰动数据来保护个人的隐私。我们报告了四个在线人类受试者实验，研究了使用不同方法在健康应用数据收集设置中使用不同方法传达差异隐私技术的效果。当给出不同的DP或LDP描述时，实验1和2调查了参与者的数据披露决策，以进行低敏感和高敏感的个人信息。实验3和4揭示了参与者数据共享决策背后的原因，并检查了参与者对这些DP或LDP描述的主观和客观理解。当展示描述的描述，这些描述解释了DP或LDP技术的定义/过程时，参与者表现出更好的理解，并且表现出与DP相比，与DP相比，与LDP共享信息的意愿更大，这表明他们对LDP与DP相比更强的隐私保证。
Differential privacy protects an individual's privacy by perturbing data on an aggregated level (DP) or individual level (LDP). We report four online human-subject experiments investigating the effects of using different approaches to communicate differential privacy techniques to laypersons in a health app data collection setting. Experiments 1 and 2 investigated participants' data disclosure decisions for low-sensitive and high-sensitive personal information when given different DP or LDP descriptions. Experiments 3 and 4 uncovered reasons behind participants' data sharing decisions, and examined participants' subjective and objective comprehensions of these DP or LDP descriptions. When shown descriptions that explain the implications instead of the definition/processes of DP or LDP technique, participants demonstrated better comprehension and showed more willingness to share information with LDP than with DP, indicating their understanding of LDP's stronger privacy guarantee compared with DP.
