4 papers · 2 filters
DISTA-LP: Privacy-Preserving Distributed Linear Programming for Metric Differential Privacy
Michael Oluwole, Ruiyao Liu, Aleksander Stevens +1
Linear-programming (LP) mechanisms for metric differential privacy (mDP) enable fine-grained, task-aware utility control, but they are computationally expensive and become privacy-…
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…
A Graph-Based Framework for Extending Metric Differential Privacy Mechanisms
Ruiyao Liu, Chenxi Qiu
Metric differential privacy (mDP) is well suited to structured secret domains, but directly constructing utility-aware mechanisms over large or fine-grained domains is often comput…
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…