Mar 31, 2020 · In this work, we have provided a differentially private Naive Bayes classifier that adds noise proportional to the Smooth Sensitivity of its ...
Our experimental results on real-world datasets show that smooth sensitivity significantly im- proves accuracy while still guaranteeing ε-differential privacy.
This paper applies the model of differential privacy, which provides a strong privacy guarantee even if adversaries hold arbitrary prior knowledge, ...
Sep 10, 2024 · In this work, we have provided a differentially private Na\"ive Bayes classifier that adds noise proportional to the Smooth Sensitivity of its ...
Jul 22, 2021 · SPEAKER Farzad Zafarani (Purdue University) Chris Clifton (Purdue University)
Jul 20, 2021 · In this talk (1) I will give background on Smooth Sensitivity defined by Nissim, Raskhodnikova, and Smith. (2) I will present our recent work in ...
Mar 31, 2020 · In this work, we have provided a differentially private Naïve Bayes classifier that adds noise proportional to the Smooth Sensitivity of its ...
Apr 2, 2020 · Farzad Zafarani, Chris Clifton: Differentially Private Naïve Bayes Classifier using Smooth Sensitivity. CoRR abs/2003.13955 (2020).
We now present how to make the standard Naıve Bayes. Classifier differentially private. The basic idea is to derive the sensitivity of the classifier parameters ...
Missing: Smooth | Show results with:Smooth
Oct 14, 2024 · This study proposes a novel mechanism for differentially private selection using the concept of smooth sensitivity and presents theoretical proofs of strict ...
Missing: Naïve Bayes