PreTPost — Transparent Local Differential Privacy Framework
December 31, 2017
The PreTPost framework is a transparent generic local differential privacy framework implemented in Python. It aims to verifiably respect the privacy expectations of individual users who are subject to data collection — giving users transparent, user-verifiable control over how their personal data is handled.
PreTPost was developed by Hamid Ebadi during his PhD at Chalmers University of Technology as part of research into dynamic enforcement of differential privacy.
Documentation
- PreTPost: A Transparent, User Verifiable, Local Differential Privacy Framework
- Design and Use of PreTPost Framework
- Jupyter Notebook Documentation
Related Work
PreTPost is the practical Python implementation accompanying the PhD thesis “Dynamic Enforcement of Differential Privacy” (Chalmers University of Technology, 2018) and the paper “Differential Privacy: Now it’s Getting Personal” (ACM SIGPLAN 2015).