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U.S. Broadband Coverage Data Set: A Differentially Private Data Release
v1v2 (latest)

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

24 March 2021
Mayana Pereira
Allen Kim
Joshua Allen
Kevin White
J. L. Ferres
Rahul Dodhia
ArXiv (abs)PDFHTML

Papers citing "U.S. Broadband Coverage Data Set: A Differentially Private Data Release"

9 / 9 papers shown
Practitioners' Perspectives on a Differential Privacy Deployment Registry
Practitioners' Perspectives on a Differential Privacy Deployment Registry
Priyanka Nanayakkara
Elena Ghazi
Salil Vadhan
239
1
0
16 Sep 2025
"I inherently just trust that it works": Investigating Mental Models of
  Open-Source Libraries for Differential Privacy
"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy
Patrick Song
Jayshree Sarathy
Michael Shoemate
Salil P. Vadhan
272
6
0
13 Oct 2024
SpaCE: The Spatial Confounding Environment
SpaCE: The Spatial Confounding EnvironmentInternational Conference on Learning Representations (ICLR), 2023
Mauricio Tec
A. Trisovic
Michelle Audirac
Sophie Woodward
Jie Kate Hu
N. Khoshnevis
Francesca Dominici
CML
436
6
0
01 Dec 2023
Assessment of Differentially Private Synthetic Data for Utility and
  Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular DataPLoS ONE (PLoS ONE), 2023
Mayana Pereira
Meghana Kshirsagar
Soumendu Sundar Mukherjee
Rahul Dodhia
J. L. Ferres
Rafael de Sousa
SyDa
263
17
0
30 Oct 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis
Samplable Anonymous Aggregation for Private Federated Data AnalysisConference on Computer and Communications Security (CCS), 2023
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
503
20
0
27 Jul 2023
Differential Privacy via Distributionally Robust Optimization
Differential Privacy via Distributionally Robust Optimization
Aras Selvi
Huikang Liu
W. Wiesemann
395
6
0
25 Apr 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential
  Privacy
What Are the Chances? Explaining the Epsilon Parameter in Differential PrivacyUSENIX Security Symposium (USENIX Security), 2023
Priyanka Nanayakkara
Mary Anne Smart
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
238
60
0
01 Mar 2023
Widespread Underestimation of Sensitivity in Differentially Private
  Libraries and How to Fix It
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix ItConference on Computer and Communications Security (CCS), 2022
Sílvia Casacuberta
Michael Shoemate
Salil P. Vadhan
Connor Wagaman
316
32
0
21 Jul 2022
An Analysis of the Deployment of Models Trained on Private Tabular
  Synthetic Data: Unexpected Surprises
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira
Meghana Kshirsagar
Soumendu Sundar Mukherjee
Rahul Dodhia
J. L. Ferres
264
10
0
15 Jun 2021
1
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