Playlist: 34 videos

Privacy and the Science of Data Analysis

0:48:5

Locally Private Bayesian Inference for Count Models

Steven Wu (University of Minnesota Twin Cities)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/locally-private-bayesian-inference-count-models
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0:46:52

Finite Sample Differentially Private Confidence Intervals

Vishesh Karwa (Temple University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/confidence-intervals
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0:39:51

Differential Privacy with Elliptical Stochastic Processes

Matthew Reimherr (Pennsylvania State University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/differential-privacy-elliptical-stochastic-processes
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0:47:54

Robust Statistics and Bias Correction: Ideas for Differential Privacy and Utility

Roberto Molinari (Pennsylvania State University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/tbd-48
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0:37:51

Differentially Private Inference for Binomial Data

Jordan Awan (Pennsylvania State University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/differentially-private-uniformly-most-powerful-tests-binomial-data
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0:48:29

The Structure of Optimal Private Tests for Simple Hypotheses

Audra McMillan (Boston University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/structure-optimal-private-tests-simple-hypotheses
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0:59:36

Practical Difficulties in the Application of Differential Privacy for the Release of Large-Scale Public Data Products

Philip LeClerc (U.S. Census Bureau)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/practical-difficulties-application-differential-privacy-release-large-scale-public-data
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0:44:45

Shrinkwrap: Differentially-Private Query Processing in Private Data Federations

Johes Bater (Northwestern University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/differential-privacy-relational-data
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0:42:33

Analyzing Administrative Data with Privacy Protection in Place

Frauke Kreuter (University of Maryland)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/administrative-data
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0:43:41

Differentially Private Inference for Regression Coefficients

Andrés Felipe Barrientos (Duke University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/synthetic-data-set-generation-under-dp-and-verification-synthetic-results
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