Differential Privacy: Partial Secrecy

In course

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Description

This lecture covers the concept of Differential Privacy (DP), focusing on Partial Secrecy. It explains the notion of distance between data bases, the setup with a set D of data bases, and the use of a randomized mechanism. The lecture also discusses the properties of randomized mechanisms over data bases, the Algorithmic Foundations of Differential Privacy, and the trade-offs in hypothesis testing.

Instructor

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Official source

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

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

Mathematics

Mathematical logic: Set theory

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