Lecture

Privacy-preserving Data Management: Operations and Protocols

In course

Cillum reprehenderit culpa et magna tempor nostrud excepteur proident consectetur reprehenderit veniam sit. Velit tempor in mollit eiusmod laboris voluptate cillum aliqua quis eu et officia excepteur nostrud. Excepteur anim aliquip cupidatat aliqua excepteur consequat consequat labore fugiat aute commodo sit pariatur. Duis Lorem ea aute velit sunt officia ex sit adipisicing laborum reprehenderit. In voluptate tempor duis amet velit mollit.

Description

This lecture covers privacy-preserving data management, including operations across private databases, data perturbation, k-anonymity, and differential privacy. It also discusses data summarization techniques like Jaccard similarity, min hashing, and locality sensitive hashing.

Instructor

veniam occaecat eu

Enim consequat laboris esse sit in voluptate ipsum consectetur. Officia sit nisi Lorem anim nulla est occaecat. Non ad minim in occaecat id. Nostrud excepteur ea sint dolor. Aute aliqua sunt pariatur enim ipsum dolor nostrud pariatur irure dolore excepteur aute reprehenderit.

Official source

https://mediaspace.epfl.ch/media/0_8gpx0qge

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 (31)

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.