The Structure of Optimal Private Tests for Simple Hypotheses

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=xrx2HKqcoV8


Duration: 48:29
938 views
9

Audra McMillan (Boston University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/structure-optimal-private-tests-simple-hypotheses



Other Videos By Simons Institute for the Theory of Computing


2019-04-10Pufferfish Privacy Mechanisms for Correlated Data
2019-04-10Bandit Learning under Differential Privacy
2019-04-10Differentially Private Change-Point Detection
2019-04-09PANEL: Statistical Theory, Privacy and Data Analysis
2019-04-09Optimality in Locally Private Estimation and Learning
2019-04-09Node Privacy, High-dimensional Graph Summaries, and Block Models
2019-04-09Differentially Private Inference for Regression Coefficients
2019-04-09Analyzing Administrative Data with Privacy Protection in Place
2019-04-09Shrinkwrap: Differentially-Private Query Processing in Private Data Federations
2019-04-09Practical Difficulties in the Application of Differential Privacy for the Release of Large-Scale...
2019-04-08The Structure of Optimal Private Tests for Simple Hypotheses
2019-04-08Differentially Private Inference for Binomial Data
2019-04-08Robust Statistics and Bias Correction: Ideas for Differential Privacy and Utility
2019-04-08Differential Privacy with Elliptical Stochastic Processes
2019-04-08Finite Sample Differentially Private Confidence Intervals
2019-04-08Locally Private Bayesian Inference for Count Models
2019-04-03What We Can Learn from AdNauseam about the Threat and Power of Data Obfuscation
2019-03-22A Combinatorial Approach to Complexity Transitions in Quantum Physics
2019-03-22Christoffel-Darboux Type Identities for the Independence Polynomial
2019-03-22Counting Hypergraph Colorings in the Local Lemma Regime
2019-03-22Negative Dependence and Lorentzian Polynomials


Tags:
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley
Audra McMillan
Privacy and the Science of Data Analysis