Lecture

De-anonymization: The Risks of Anonymized Data

Description

This lecture explores the importance of anonymization in protecting sensitive data, discussing techniques such as generalization, data aggregation, and combining datasets. It also delves into real-world cases of de-anonymization, highlighting the risks associated with sharing supposedly anonymous data.

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