YoVDO

Efficiently Computing Similarities to Private Datasets

Offered By: Simons Institute via YouTube

Tags

Sublinear Algorithms Courses Cryptography Courses Locality-Sensitive Hashing Courses Differential Privacy Courses Secure Multiparty Computation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore cutting-edge research on efficiently computing similarities to private datasets in this 30-minute talk by Sandeep Silwal from MIT. Delve into the realm of extroverted sublinear algorithms and their applications in privacy-preserving data analysis. Gain insights into innovative techniques for maintaining data confidentiality while enabling meaningful computations on sensitive information. Learn about the latest advancements in this field and their potential impact on various industries and research domains.

Syllabus

Efficiently Computing Similarities to Private Datasets


Taught by

Simons Institute

Related Courses

Secure Multiparty Computation
Simons Institute via YouTube Cryptography for Quantum Computers
Simons Institute via YouTube Fast Secure Computation for Small Population over the Internet
Association for Computing Machinery (ACM) via YouTube Broadcast-Optimal Two-Round MPC
TheIACR via YouTube The Price of Active Security in Cryptographic Protocols
TheIACR via YouTube