3 papers
cs.CR2026
Beyond Monolithic Perturbation: Heterogeneous Mechanism Design for Multi-Attribute Metric Differential Privacy
Ruiyao Liu, Michael Oluwole, Chenxi Qiu
Multi-attribute user records are inherently heterogeneous, often combining continuous, categorical, and binary attributes, and they frequently exhibit strong cross-attribute depend…
cs.CR2025
PAnDA: Rethinking Metric Differential Privacy Optimization at Scale with Anchor-Based Approximation
Ruiyao Liu, Chenxi Qiu
Metric Differential Privacy (mDP) extends the local differential privacy (LDP) framework to metric spaces, enabling more nuanced privacy protection for data such as geo-locations.…
cs.CR2024
Time-Efficient Locally Relevant Geo-Location Privacy Protection
Chenxi Qiu, Ruiyao Liu, Primal Pappachan +2
Geo-obfuscation serves as a location privacy protection mechanism (LPPM), enabling mobile users to share obfuscated locations with servers, rather than their exact locations. This…