C-mDP augments the secret with context, enforces metric indistinguishability on the augmented domain, and reduces the LP via conditional independence to achieve higher utility than standard mDP on vehicle traces.
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Context-Aware Metric Differential Privacy for Vehicle Trajectory Data
C-mDP augments the secret with context, enforces metric indistinguishability on the augmented domain, and reduces the LP via conditional independence to achieve higher utility than standard mDP on vehicle traces.