2020 Methods Lecture Ian Schmutte Decisions With Privacy Protected Data

2020 Methods Lecture, Ian Schmutte "Decisions with Privacy-Protected Data"

https://www.nber.org/conferences/si-

2020 Methods Lecture, Ian Schmutte "Formal Privacy in Census Data"

https://www.nber.org/conferences/si-

2020 Methods Lecture, Daniel Goroff, "Differential Privacy: Observations for Economists"

https://www.nber.org/conferences/si-

2020 Methods Lecture, Frauke Kreuter, "Implications of Data Privacy Concerns for Empirical Social.."

https://www.nber.org/conferences/si-

Statistically Valid Inferences from Privacy Protected Data

A Google TechTalk, presented by Gary King,

2020 Methods Lecture, Daniel Kifer, "Basic Differential Privacy Algorithms and Statistics"

https://www.nber.org/conferences/si-

IDEA Webinar | Disclosure Avoidance Methods

The purpose of the Handbook on Using Administrative

Statistically Valid Inferences from Privacy Protected Data

Gary King, Albert J. Weatherhead III University Professor at Harvard University February 14,

Privacy-Preserving Data Analysis - Mechanisms and Formal Guarantees (EINS Summer School 2012)

In this

Transparency -- ML in Production Course @ CMU -- Lecture 20

This is the twentieth

Data Privacy in Multi-agent Optimization Under Uncertainty

Speaker: Dr. Maria Prandini Affiliation: Polytechnic University of Milan.

The Data Scientist’s Guide to Preserving Privacy - Stephen Bailey

STEPHEN BAILEY |

"Privacy and the Complexity of Simple Queries" (CRCS Lunch Seminar)

CRCS Lunch Seminar (Wednesday, January 29, 2014) Speaker: Jon Ullman, Postdoctoral Fellow, Center for Research on ...

Private Center Points and Learning of Halfspaces

Amos Beimel (Ben Gurion University)

Genetic Privacy: A friend or foe? – public lecture with Dr. Yaniv Erlich

How concerned should you be about keeping your DNA

Privacy Amplification from Structured Algorithmic Randomness

Ayfer Ozgur (Stanford University) https://simons.berkeley.edu/talks/ayfer-ozgur-stanford-university-2026-02-24...

Hypothesis Selection with Privacy Constraints

We consider a hypothesis selection problem: given samples from an unknown probability distribution P and a set of m...