quasi-identifiers

Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS

How many people you could still be: reads what an account has said about itself, applies every fact to the real population it describes, and says how many people still fit all of it. Calibrated against the US census, and the figures are in the README.

Privacy first feature engineering pipeline transforming PII-rich customer data into analytics ready features without exposing personal identifiers.

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.