A new paper appeared on Scientific Reports (https://www.nature.com/articles/s41598-021-03762-2).

In this paper, titled “Modelling imperfect knowledge via location semantics for realistic privacy risks estimation in trajectory data” we propose a privacy risk estimation framework that builds on the semantic context associated to location data. By moving away from the assumption that adversaries have perfect knowledge, we can obtain realistic risk estimates and optimize the trade-off between privacy and utility.