/PrivSynth

PrivSynth is a Streamlit application designed to create differentially private tabular data using Differentially Private Wasserstein Generative Adversarial Networks (DPWGAN). This tool is particularly useful for users who need to generate synthetic data sets that closely resemble original data while ensuring the privacy of individual data entries.

Primary LanguagePythonMIT LicenseMIT

Stargazers