Published Nov 6, 2020

Differential Privacy at the US Census

Explore how the US Census Bureau is transforming its disclosure system with differential privacy, as Simson Garfinkel delves into the balance between data security and utility, addressing the challenges of maintaining accuracy while protecting confidentiality.

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Differential Privacy at the US Census

Topics covered

Popular Clips

Differential Privacy Explained

Data Privacy Insights

Evolution of Differential Privacy

Understanding Differential Privacy

Skills and Challenges

Privacy and Data Release

Privacy and Data Protection

Fun at Census Bureau

Learning Differential Privacy

Openness and Algorithms

Episode Highlights

Census Bureau Innovations

Data Utility and Privacy

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Introduction

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Differential Privacy at the US Census

Topics covered

Popular Clips

Episode Highlights

Census Bureau InnovationsSimson Garfinkel, Senior Computer Scientist at the US Census Bureau, discusses the modernization of the Bureau's disclosure avoidance system using differential privacy. This transition aims to enhance transparency and data security while maintaining statistical integrity.

Census Bureau Innovations

Data Utility and PrivacySimson Garfinkel discusses the intricate balance between data accuracy and privacy in the US Census Bureau's use of differential privacy. He highlights the challenges users face in adapting to new privacy methodologies and the importance of education in this transition.

Data Utility and Privacy

Differential Privacy

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