1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
cs.CR2024★ 1 cited
Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation
Sourabh Yadav, Chenyang Yu, Xinpeng Xie +2
Geo-obfuscation is a Location Privacy Protection Mechanism used in location-based services that allows users to report obfuscated locations instead of exact ones. A formal privacy…