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SoK: A Review of Differentially Private Linear Models For
  High-Dimensional Data

SoK: A Review of Differentially Private Linear Models For High-Dimensional Data

1 April 2024
Amol Khanna
Edward Raff
Nathan Inkawhich
ArXiv (abs)PDFHTML

Papers citing "SoK: A Review of Differentially Private Linear Models For High-Dimensional Data"

3 / 3 papers shown
Title
Position: Challenges and Opportunities for Differential Privacy in the
  U.S. Federal Government
Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government
Amol Khanna
Adam McCormick
A. Nguyen
Chris Aguirre
Edward Raff
59
0
0
21 Oct 2024
More Options for Prelabor Rupture of Membranes, A Bayesian Analysis
More Options for Prelabor Rupture of Membranes, A Bayesian Analysis
Ashley Klein
Edward Raff
Elisabeth Seamon
Lily Foley
Timothy Bussert
54
0
0
20 Aug 2024
High-Dimensional Distributed Sparse Classification with Scalable
  Communication-Efficient Global Updates
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
Fred Lu
Ryan R. Curtin
Edward Raff
Francis Ferraro
James Holt
49
1
0
08 Jul 2024
1