Data Privacy

Perturbed M-Estimation, A Further Investigation of Robust Statistics for Differential Privacy

This work highlights the links between statistical robustness and differential privacy, investigating a new method to protect data privacy using robust statistical tools

Statistical Inference for Private Data

Given the increased push for data privacy, this project aims at delivering appropriate statistical tools for reliable inference in these settings.

Data of the Defense and the Defense of Data

An easy-to-read article highlighting the need and availability of solutions allowing the DoD to share more unclassified data with low disclosure risk