2 papers
cs.CR2026
Context-Aware Metric Differential Privacy for Vehicle Trajectory Data
Gaoyi Chen, Yan Huang, Chenxi Qiu
Metric Differential Privacy (mDP) generalizes differential privacy by allowing privacy guarantees to be expressed with respect to an arbitrary distance metric over secrets. While m…
cs.LG2026
Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption
Gaoyi Chen, Minghao Li, Weishi Shi +4
Metric differential privacy (mDP) strengthens local differential privacy (LDP) by scaling noise to semantic distance, but many machine learning (ML) systems are consumed under join…