3 papers
cs.CR2021
Privacy preserving local analysis of digital trace data: A proof-of-concept
Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen +4
We present PORT, a software platform for local data extraction and analysis of digital trace data. While digital trace data collected by private and public parties hold a huge pote…
cs.CR2021
Automatic de-identification of Data Download Packages
Laura Boeschoten, Roos Voorvaart, Casper Kaandorp +2
The General Data Protection Regulation (GDPR) grants all natural persons the right of access to their personal data if this is being processed by data controllers. The data control…
stat.ML2020
Fair inference on error-prone outcomes
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri +1
Fair inference in supervised learning is an important and active area of research, yielding a range of useful methods to assess and account for fairness criteria when predicting gr…