Anonymization Deep Dive
k-anonymity, l-diversity, t-closeness, and differential privacy: formal models that give re-identification guarantees instead of just obscuring data.
Why masked data can still re-identify people, and how k-anonymity, l-diversity, and differential privacy replace hope with mathematical guarantees. Includes synthetic data as an anonymization strategy.
Course content
Prerequisites
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