Privacy-preserving data publishing: Challenges and Solutions

This lecture discusses the massive collection of person-specific data by governments and private entities, the importance of data mining, and the risks associated with utility data sharing. It also covers regulations protecting personal data, challenges in de-identification, and real-life examples of failed de-identification. Furthermore, it explores privacy threats in data publishing, the concept of k-anonymity, and a case study on Airbnb's Lighthouse project to tackle racist practices while preserving user privacy.