Explore the latest advancements in differential privacy with Aaron Roth from the University of Pennsylvania in this comprehensive tutorial. Delve into topics such as the Imagenet Competition, multiple comparisons, the Garden of Forking Paths, and implicit multiple comparisons. Learn about preregistration, formalization, and statistical queries. Examine the Easy Theorem and its strengths, along with compressible estimators and guessing error. Gain valuable insights into adaptive data analysis and its implications for privacy protection in this hour-long presentation from the Adaptive Data Analysis Workshop at the Simons Institute.
Recent Development in Differential Privacy I
Overview
Syllabus
Introduction
Imagenet Competition
Multiple Comparisons
Garden of Forking Paths
Implicit Multiple Comparisons
Preregistration
Formalization
Statistical Queries
Easy Theorem
Easy Theorem Strengths
Compressible Estimators
Guessing
Error
Summary
Differential Privacy
Taught by
Simons Institute
