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1906.00455
Cited By
Generating Poisson-Distributed Differentially Private Synthetic Data
2 June 2019
Harrison Quick
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Papers citing
"Generating Poisson-Distributed Differentially Private Synthetic Data"
7 / 7 papers shown
Title
Obtaining
(
ε
,
δ
)
(ε,δ)
(
ε
,
δ
)
-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables
James Jackson
Robin Mitra
Brian Francis
Iain Dove
21
0
0
29 Jun 2024
Privacy risk in GeoData: A survey
Mahrokh Abdollahi Lorestani
Thilina Ranbaduge
Thierry Rakotoarivelo
43
2
0
06 Feb 2024
30 Years of Synthetic Data
Joerg Drechsler
Anna Haensch
57
16
0
04 Apr 2023
Formal Privacy for Partially Private Data
Jeremy Seeman
M. Reimherr
Aleksandra B. Slavkovic
62
3
0
03 Apr 2022
The Privacy-preserving Padding Problem: Non-negative Mechanisms for Conservative Answers with Differential Privacy
Benjamin M. Case
James Honaker
Mahnush Movahedi
87
3
0
15 Oct 2021
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
Darren Edge
Weiwei Yang
Kate Lytvynets
Harry Cook
Claire Galez-Davis
Hannah Darnton
Christopher M. White
151
6
0
12 May 2020
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge
C. Bowen
Joshua Snoke
SyDa
8
1
0
28 Nov 2019
1
