Rethinking Location Privacy for Unknown Mobility Behaviors. Simon Oya, Carmela Troncoso, and Fernando Pérez-González. In IEEE European Symposium on Security and Privacy (EuroS&P), pp. 416-431, 2019. [Slides]
Location Privacy
Open your phone, got to location permissions, and see how many apps you are sharing your location with. Probably a lot. Food delivery, rideshare, weather forecast, camera, dating apps, etc. To use most of these apps, we need to share our location data with a service provider. Have you ever wondered how sensitive this information is? With your location information is not only trivial to learn where you live and work, but one could probably infer your hobbies, habits, political preferences, etc. What if the service provider is malicious or does not have the proper safeguards to protect your data? Scary!
My research in location privacy studies location privacy-preserving mechanisms, which partially hide our location to provide some privacy while still being able to get some utility from the service. My work so far has focused on reasoning about which metrics are appropriate to quantify privacy in this case, and studied how to optimize the privacy-utility trade-offs in this setting.
If you want to read one paper about this, I would recommend my CCS’17 paper. Here’s the full list:
Publications
Is Geo-Indistinguishability What You Are Looking for?. Simon Oya, Carmela Troncoso, and Fernando Pérez-González. In ACM Workshop on Privacy in the Electronic Society (WPES), pp. 137-140, 2017. [Slides]
Back to the Drawing Board: Revisiting the Design of Optimal Location Privacy-Preserving Mechanisms. Simon Oya, Carmela Troncoso, and Fernando Pérez-González. In ACM SIGSAC Conference on Computer and Communications Security (CCS), pp. 1959-1972, 2017. [Slides]