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SoK: Can Trajectory Generation Combine Privacy and Utility?
March 13, 2024, 4:42 a.m. | Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere
cs.LG updates on arXiv.org arxiv.org
Abstract: While location trajectories represent a valuable data source for analyses and location-based services, they can reveal sensitive information, such as political and religious preferences. Differentially private publication mechanisms have been proposed to allow for analyses under rigorous privacy guarantees. However, the traditional protection schemes suffer from a limiting privacy-utility trade-off and are vulnerable to correlation and reconstruction attacks. Synthetic trajectory data generation and release represent a promising alternative to protection algorithms. While initial proposals achieve …
abstract arxiv cs.cr cs.lg data however information location political privacy protection publication services trajectory type utility
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