Towards Effective Differential Privacy Communication for Users’ Data Sharing Decision and Comprehension

Towards Effective Differential Privacy Communication for Users’ Data Sharing Decision and Comprehension
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DOI:
10.1109/sp40000.2020.00088
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发表时间:
2020-03
期刊:
2020 IEEE Symposium on Security and Privacy (SP)
影响因子:
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通讯作者:
Aiping Xiong;Tianhao Wang;Ninghui Li;S. Jha
Aiping Xiong;Tianhao Wang;Ninghui Li;S. Jha
中科院分区:
其他
文献类型:
--
作者:
Aiping Xiong;Tianhao Wang;Ninghui Li;S. Jha

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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收集设置。不同的DP或LDP描述。实验3和4的原因是参与者的数据共享决定,并检查了参与者对这些DP或LDP描述的主观和客观的理解。自由顾展技术,参与者表现出更好的理解,并且表现出与DP相比,与LDP共享信息的意愿更大,表明他们与DP相比,了解自然党更强的隐私保证。
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.