Package propinfer
propinfer is a modular framework to run Property Inference Attacks on Machine Learning models.
To run an experiment, you simply should define subclasses of Generator and Model
to represent your data source and your evaluated model respectively.
Logging is available for this framework, using logger propinfer.
Version 1.3.0
(c) EPFL Data Science Lab (dlab) 2022
Sub-modules
propinfer.experimentpropinfer.generatorpropinfer.model