Lecture

Privacy-Preserving Data Mining

In course

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Description

This lecture covers the reconstruction of multi-column queries, privacy-preserving data mining applications, k-anonymity, attacks on k-anonymity, differential privacy, and the Laplace mechanism. It emphasizes the importance of privacy guarantees in data mining and the challenges of achieving differential privacy.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_2qhej4ai

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