Privacy
While privacy is not one of my primary research interests, I do have some past and ongoing projects on it, particularly with regards to fair privacy and AI to help people make privacy-related decisions. Our fair privacy paper examines what is involved in making sure that privacy guarantees are provided in a fair and equitable manner, that vulnerable people are not at greater risk of privacy failures , , and . 2018. Privacy for All: Ensuring Fair and Equitable Privacy Protections. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency (FAT* 2018), Feb 23, 2018. PMLR, Proceedings of Machine Learning Research 81:35–47. Acceptance rate: 24%. Cited 106 times. Cited 78 times. , , , and . 2018. Do Different Groups Have Comparable Privacy Tradeoffs?. In Moving Beyond a ‘One-Size Fits All’ Approach: Exploring Individual Differences in Privacy, a workshop at CHI 2018, Apr 21, 2018. NSF PAR 10222636. Cited 4 times. Cited 4 times. This line of work examines how people make privacy decisions and how we might build tools that support them in that process. , , , and . 2021. Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans. In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’21), Jul 1, 2021. ACM, pp. 169–178. DOI 10.1145/3450613.3456829. arXiv:2104.11847 [cs.SI]. NSF PAR 10223377. Acceptance rate: 23%. Cited 25 times. Cited 16 times.Fair Privacy
Privacy Decision-Making