What is it about?
Human movements contain rich information about human characteristics. Analyzing the mobility datasets is very efficient but accessing such datasets is hard due to privacy concerns. This work minimizes the hardship of accessing real mobility datasets freely.
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Why is it important?
Our method is very efficient in terms of utility and privacy guarantee.
Read the Original
This page is a summary of: Differentially Private Map Matching for Mobility Trajectories, December 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3564625.3567974.
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