A Short Tutorial on Differential Privacy

Disturbing Headlines and Paper Titles: “A Face Is Exposed for AOL Searcher No. 4417749” [Barbaro & Zeller ’06], “Robust De-anonymization of Large Datasets (How to Break Anonymity of the Netflix Prize Dataset)” [Narayanan & Shmatikov ’08], “Matching Known Patients to Health Records in Washington State Data” [Sweeney ’13] , “Harvard Professor Re-Identifies Anonymous Volunteers In DNA Study” [Sweeney et al. ’13] — … and many others/ In general, removing identifiers and applying anonymization heuristics is not always enough! A good brief on differential privacy and its use. Read More

#homomorphic-encryption, #privacy