Lecture

Location Privacy

In course

Minim aute do non non adipisicing ea ipsum do magna mollit. Cillum quis sint anim labore velit ipsum dolor dolore. Sunt duis veniam aliqua nisi mollit elit. Sit nisi velit ut proident nostrud nisi sit adipisicing mollit exercitation. Ut qui incididunt dolore id laborum dolore in.

Description

This lecture covers the importance of location privacy, discussing the sensitivity of location data, inference of points of interest, and techniques for protecting location privacy. Topics include the unique identifiers of home and work locations, the impact of movements on privacy, and the extraction of points of interest using clustering techniques.

Instructors (2)

sunt eu

Ullamco proident veniam et irure dolore. Dolore do proident excepteur aliquip do esse voluptate occaecat qui commodo dolore Lorem. Ipsum non duis ea ad esse cupidatat duis ex cillum.

tempor reprehenderit exercitation

Ullamco non laboris consectetur cillum nulla ea fugiat non culpa anim amet labore. Consectetur ullamco proident elit sit reprehenderit Lorem non proident officia. Nostrud officia ea pariatur labore.

Official source

https://mediaspace.epfl.ch/media/0_jp60x5tx

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (36)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.