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Privacy Preserving Aggregate Statistics via Boolean Shares - Part 3

Offered By: TheIACR via YouTube

Tags

Privacy-Preserving Machine Learning Courses Statistical Analysis Courses Data Privacy Courses Secure Multi-Party Computation Courses

Course Description

Overview

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Explore privacy-preserving aggregate statistics through Boolean shares in this conference talk from PPML 2022. Delve into the innovative Prio+ system, which enhances data privacy while enabling accurate statistical analysis. Gain insights into cutting-edge techniques for protecting sensitive information in aggregate computations and learn how Boolean shares contribute to secure multi-party computation. Discover the potential applications and implications of this technology for various fields requiring privacy-conscious data analysis.

Syllabus

PPML 2022 Contributed Talks II (part III)


Taught by

TheIACR

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