mlpepr 0.1b6

PePR is a library for pentesting the privacy risk and robustness of machine learning models.

ML-PePR stands for Machine Learning Pentesting for Privacy and Robustness and is a Python library for evaluating machine learning models. PePR is easily extensible and hackable. PePR’s attack runner allows structured pentesting, and the report generator produces straightforward privacy and robustness reports (LaTeX/PDF) from the attack results.

Caution, we cannot guarantee the correctness of PePR. Always do check the plausibility of your results!

Installation

To install pepr use pip install mlpepr.