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Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions

A personal privacy assistant (PURE) helps its user make privacy decisions by recommending privacy labels (private or public) for given contents. PURE is unobtrusive, uncertainty-aware, and personalized.

In this repo, you can find how we implement PURE, Standard Neural Networks (SNN), and existing models such as Monte Carlo (MC) dropout and Deep Ensemble.

Portfolio by Amber Elferink

GUI van de resultaten van een zoekopdracht en GUI van het wijzigen van tags.

Alignment of Tip2Tip dataset with the Astra toolbox

Project done by Nils Idema in Jan 2025; supervised by Michael Behrisch

Hole Refinemenst for Polymorphic Type-and-Example Driven Synthesis

Code used to generate the data of two-dimensional Active Brownian (rodlike) Particles for the paper DOI:10.1063/1.5086733.