Explore the effects of differential privacy and swapping techniques on minority representation and privacy protection in U.S. Census data. Delve into a 20-minute IEEE conference talk that examines the complex interplay between data anonymization methods and their potential impact on demographic accuracy. Gain insights from researchers Sarah Radway, Miranda Christ, and Steven Bellovin as they analyze the challenges of balancing privacy concerns with the need for accurate representation of minority populations in census statistics.
Differential Privacy and Swapping - Examining De-Identification's Impact on Minority Representation and Privacy Preservation in the U.S. Census
Overview
Syllabus
De-Identification's Impact on Minority Representation and Privacy Preservation in the US Census
Taught by
IEEE Symposium on Security and Privacy
Tags
Related Courses
-
Differential Privacy and the US Census - IPAM at UCLA
-
Theory Seminar - Differential Privacy in Theory and Practice, Abie Flaxman
-
Manipulation Attacks in Local Differential Privacy
-
PrivKV - Key Value Data Collection with Local Differential Privacy
-
Statistical Quantification of Differential Privacy - A Local Approach
-
Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension
