Lecture

Location Privacy

In course

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Description

This lecture discusses the measurement of privacy in location data, covering topics such as strategic adversaries, privacy errors, certainty, entropy, privacy gain, systematic evaluation of privacy, membership attacks, modeling techniques, defense mechanisms, and the challenges in protecting location privacy. The instructor presents case studies on publicly available data from mobile crowdsourcing projects and emphasizes the importance of evaluating privacy risks and defense strategies.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_btyb2n3b

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Ontological neighbourhood

Computer engineering

Computer security: Privacy

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