Federated Naive Bayes under Differential Privacy

This code can be used to reproduce the results from the paper: "Federated Naive Bayes under Differential Privacy".

Scripts:

• python src/run.py to compute the accuracy of Naive Bayes classifier (standard, centralized DP, federated DP).
• python src/measure_error.py to compute the errors in the parameter estimation when using DP.
• python src/measure_sensitivity.py to compute the sensitivity of the queries.

Hyperparameters of the Monte Carlo simulations can be changed from src/config.py.