Abstract There is increasing awareness of the need to protect individual privacy in training data used develop machine learning models. Differential Privacy a strong concept protecting individuals. Naïve Bayes popular algorithm, as baseline for many tasks. In this work, we have provided differentially private classifier that adds noise proportional smooth sensitivity its parameters. We compare ...