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Saturday September 21, 2024 11:00am - 11:31am EDT

Link to paper

Abstract:
Differential privacy (DP) is a state-of-the-art privacy-preserving mechanism. In this paper, we argue that interpreting users’ personalized and contextual privacy choices is key to applying DP in actual use cases. Through the lens of contextual integrity (CI), we conducted a proof-ofconcept survey (N=23) to examine how app types and information receivers affected people’s perceived appropriateness of information disclosures and their choices of the privacy-data utility tradeoff in DP. Through the exploratory analysis, we revealed people’s diverse privacy choices, which were affected by contexts. Further, people’s perceived appropriateness of information flows and desired tradeoff between privacy and data utility in DP were consistent. Based on the findings, we point out the technical questions and uncertainty about DP and stress the importance of understanding users’ personalized and contextual privacy choices to avoid misalignment between app and users and, therefore, enhance the usability of DP. This research sheds light on making DP more socially aware and adaptive to user needs via integration with the CI framework.
Discussant
avatar for Jon Peha

Jon Peha

Professor and Center Director, Carnegie Mellon University
Authors
avatar for Kyrie Zhixuan Zhou

Kyrie Zhixuan Zhou

PhD Candidate, University of Illinois Urbana-Champaign
My research interests are broadly in tech accessibility, tech ethics, and tech education. I aspire to design, govern, and teach about ICT/AI experience for vulnerable populations. More recently, my research has focused on LLM ethics and accessibility design and education.
MS

Madelyn Sanfilippo

Assistant Professor, University of Illinois
Saturday September 21, 2024 11:00am - 11:31am EDT
Room NT01 WCL, 4300 Nebraska Ave, Washington, DC

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