Lecture

Data Compression: Privacy-Preserving Techniques

In course

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Description

This lecture covers privacy-preserving data management techniques, including operations across private databases, data perturbation, k-Anonymity, and Differential Privacy. It also explores data summarization methods such as Jaccard similarity, Minhashing, and Locality-Sensitive Hashing. The instructor explains how to find similar items in various contexts like stock market trends and document similarity, using practical examples and mathematical formulas.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_oghurht0

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Ontological neighbourhood

Information engineering

Signal processing: Data compression

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