A data- and query-aware algorithm for ε-differential privacy on trajectory range queries that privately partitions space, computes densities, and estimates trajectory distributions to achieve lower error than uniform-noise baselines.
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A Differentially Private Algorithm for Range Queries on Trajectories
A data- and query-aware algorithm for ε-differential privacy on trajectory range queries that privately partitions space, computes densities, and estimates trajectory distributions to achieve lower error than uniform-noise baselines.