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Differentially Private Best Subset Selection Via Integer Programming
Differentially Private Machine Learning: Theory, Algorithms, and Applications
Learning Differentially Private Mechanisms
Marginal-based Methods for Differentially Private Synthetic Data
Differentially Private Multi-party Data Release for Linear Regression
Differentially Private Synthetic Data without Training
Differentially Private Small Dataset Release Using Random Projections
Differentially-Private Multi-Party Sketching for Large-Scale Statistics
USENIX Security '21 - PrivSyn: Differentially Private Data Synthesis
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Last Updated: October 26, 2026
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Summary
Damien Desfontaines (Google / ETH Zürich), James Voss (Google), Bryant Gipson (Google), and Chinmoy Mandayam (Google) A Google TechTalk, 2025-07-09, presented by Zinan Lin Privacy in ML Seminar. ABSTRACT: Generating This is Calvin Hawkins's talk from the 2020 Conference on Decision and Control (CDC) corresponding to the paper of the same ... Introduction: Today, we have Eliad Tsfadia. He is a Ph.D. student in the School of Computer Science at Tel-Aviv University. The 8th Technion Summer School on Cyber and Computer Security Privacy in Challenging Times ... A Google TechTalk, presented by Ryan McKenna, 2021/12/08 Speakers: Zinan Lin Host: Kim Laine Generating
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