YoVDO

Locally Differentially Private Frequency Estimation Based on Convolution Framework

Offered By: IEEE via YouTube

Tags

IEEE Symposium on Security and Privacy Courses Privacy-Preserving Data Analysis Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 14-minute IEEE conference talk on locally differentially private frequency estimation using a convolution framework. Delve into the research presented by Huiyu Fang and Liquan Chen from Southeast University, along with Yali Liu from Jiangsu Normal University and Yuan Gao from Southeast University. Gain insights into advanced privacy-preserving techniques for data analysis and their applications in frequency estimation.

Syllabus

Locally Differentially Private Frequency Estimation Based on Convolution Framework


Taught by

IEEE Symposium on Security and Privacy

Tags

Related Courses

MVG Mechanism - Differential Privacy under Matrix-Valued Query
Association for Computing Machinery (ACM) via YouTube
A Programming Framework for Differential Privacy with Accuracy Concentration Bounds
IEEE via YouTube
Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
Association for Computing Machinery (ACM) via YouTube
Membership Privacy in MicroRNA-based Studies
Association for Computing Machinery (ACM) via YouTube
Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation
USENIX via YouTube