Published July 22, 2023 | Version 1.0
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Exact and Efficient Bayesian Inference for Privacy Risk Quantification (Accompanying Artifact)

  • 1. Karlsruhe Institute of Technology
  • 2. IT University of Copenhagen


The artifact consists of a virtual machine with all necessary software to execute the code accompanying in the paper's GitHub repository: The repository contains a proof-of-concept implementation of our inference engine. All the experiments in the paper are included here. For convenience, they are presented in a Jupyter notebook with further comments. The experiments generate all the evaluation plots in the paper.

The password of the Zip file is: sefm_conference_2023


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