On the Feasibility of Predicting Users' Privacy Concerns using Contextual Labels and Personal Preferences
Author:
Affiliation:
1. Tsinghua University, China
2. Computer Science and Engineering, University of California, San Diego, United States
3. University of California San Diego, United States
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3613904.3642500
Reference54 articles.
1. Privacy Norms for Smart Home Personal Assistants
2. Secrets and Likes: The Drive for Privacy and the Difficulty of Achieving It in the Digital Age
3. Alessandro Acquisti, Stefanos Gritzalis, Costos Lambrinoudakis, and Sabrina di Vimercati. 2007. Digital privacy: theory, technologies, and practices. CRC Press.
4. Privacy and rationality in individual decision making
5. A Replication Study for IoT Privacy Preferences
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