Explore projects

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.

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

Project by Tingting Zhang and supervised by Michael Behrisch.

A tool used to interact and understand dimensionality reduced data. It can be used to generate, view and explain point clouds!

For the up-to-date version see https://github.com/MarcelRobeer/explabox-demo-drugreview

Scrapes Google Images for Kinetikids data Based on https://github.com/ohyicong/Google-Image-Scraper.git

(Very messy) codebase for my Master's thesis project on semi-supervised point cloud classification using label diffusion lidar segmentation