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- 2020 Methods Lecture, Ian Schmutte "Decisions with Privacy-P: Featured content with 493 views.
- 2020 Methods Lecture, Ian Schmutte "Formal Privacy in Census: Featured content with 465 views.
- 2020 Methods Lecture, Daniel Goroff, "Differential Privacy: : Featured content with 1,264 views.
- 2020 Methods Lecture, Frauke Kreuter, "Implications of Data : Featured content with 641 views.
- Statistically Valid Inferences from Privacy Protected Data: Featured content with 1,389 views.
A Google TechTalk, presented by Gary King, ...
The purpose of the Handbook on Using Administrative ...
Gary King, Albert J. Weatherhead III University Professor at Harvard University February 14, ...
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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
In this
The Data Scientist’s Guide to Preserving Privacy - Stephen Bailey
STEPHEN BAILEY |
"Privacy and the Complexity of Simple Queries"
CRCS Lunch Seminar (Wednesday, January 29, 2014) Speaker: Jon Ullman, Postdoctoral Fellow, Center for Research on ...
Data Privacy in Multi-agent Optimization Under Uncertainty
Speaker: Dr. Maria Prandini Affiliation: Polytechnic University of Milan.
Private Center Points and Learning of Halfspaces
Amos Beimel (Ben Gurion University)
Privacy Amplification from Structured Algorithmic Randomness
Ayfer Ozgur (Stanford University) https://simons.berkeley.edu/talks/ayfer-ozgur-stanford-university-2026-02-24 Learning from ...
Hypothesis Selection with Privacy Constraints
We consider a hypothesis selection problem: given samples from an unknown probability distribution P and a set of m probability ...
Differential Privacy and the 2020 Census in the United States
A Google TechTalk, presented by John Abowd, 2021/11/24
Privacy, Forward Stability and Online Learning
Adam Smith, Pennsylvania State University Big