The project is also represented at this year’s IFIP SEC conference by Christian Burkert with the paper “Data Minimisation Potential for Timestamps in Git: An Empirical Analysis of User Configurations”.
At the conference GI Sicherheit 2022 in Karlsruhe, Christian Burkert presents the paper “PrivacyDates: A Framework for More Privacy-Preserving Timestamp Data Types”.
On March 21st from 6 p.m., we will be discussing the impact of digital working environments on employee privacy. The discussion is hosted by the Gesellschaft für Informatik (GI) in the WebTalk series. See here for the event announcement.
EMPRI-DEVOPS studies have repeatedly found that tools often use timestamps unnecessarily and in excessive precision.
Today we release
django-privacydates, a demonstrator for more privacy-preserving date alternatives for the Django web framework.
Learning Analytics Dashboards is a new feature in BigBlueButton giving moderators statistics about each participant’s engagement. In this case study, we describe how this might violate user privacy and suggest an improved design. As a workaround, we show how Learning Dashboard can be disabled.
Today we released version 1.0 of our public demonstrator GitHub Privacy. The browser extension enables a more privacy-friendly display of timestamps on GitHub’s web interface. The extension also allows volunteers to contribute statistics about their timestamp needs for a study.
Paper about the compilation of privacy compliance documentation from app data models on IFIP SEC 2021
At the conference IFIP SEC 2021, Christian Burkert is presenting the paper “Compiling Personal Data and Subject Categories from App Data Models”.
At the virtual conference IEEE International Conference on Communications (ICC) 2021 Christian Burkert is presenting the paper “Analysing Leakage during VPN Establishment in Public Wi-Fi Networks” today.