YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Association for Computing Machinery (ACM) via YouTube ABY3 - A Mixed Protocol Framework for Machine Learning
Association for Computing Machinery (ACM) via YouTube Protect Privacy in a Data-Driven World - Privacy-Preserving Machine Learning
RSA Conference via YouTube Privacy-Preserving Algorithms for Decentralised Collaborative Learning - Dr Aurélien Bellet
Alan Turing Institute via YouTube CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
IEEE via YouTube