https://github.com/lefteris-souflas/census-privacy-analysis

Exploring US Census microdata, tackling privacy issues, and anonymization. Exercise A delves into quasi-identifiers, anonymization methods, identification risks, and differential privacy. Exercise B involves data loading, k-anonymity, histograms, adding noise for privacy, computing private averages, and analyzing privacy parameter impacts.

data-anonymization differential-privacy encryption gaussian-mechanism gaussian-noise gdpr jupyter-notebook k-anonymity pseudonymization python3 quasi-identifiers

Last synced: 02 Mar 2025