YoVDO

Differential Privacy as a Mutual Information Constraint

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM CCS (Computer and Communications Security) Courses Differential Privacy Courses

Course Description

Overview

Explore a conference talk from CCS 2016 that delves into differential privacy through the lens of mutual information constraints. Learn from authors Paul Cuff and Lanqing Yu of Princeton University as they present their research at the 23rd ACM Conference on Computer and Communications Security. Gain insights into this innovative approach to privacy protection in data analysis, presented at the prestigious Hofburg Palace in Vienna, Austria. Discover how the concepts of differential privacy and mutual information intersect to create more robust privacy guarantees in computational systems.

Syllabus

CCS 2016 - Differential Privacy as a Mutual Information Constraint


Taught by

ACM CCS

Related Courses

Statistical Machine Learning
Carnegie Mellon University via Independent
Secure and Private AI
Facebook via Udacity
Data Privacy and Anonymization in R
DataCamp
Build and operate machine learning solutions with Azure Machine Learning
Microsoft via Microsoft Learn
Data Privacy and Anonymization in Python
DataCamp