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Propose, Test, Release: Differentially private estimation with high
  probability

Propose, Test, Release: Differentially private estimation with high probability

19 February 2020
Victor-Emmanuel Brunel
Marco Avella-Medina
    FedML
ArXiv (abs)PDFHTML

Papers citing "Propose, Test, Release: Differentially private estimation with high probability"

7 / 7 papers shown
Title
Differentially private multivariate medians
Differentially private multivariate medians
Kelly Ramsay
Aukosh Jagannath
Shojaéddin Chenouri
60
4
0
12 Oct 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to
  Private and Robust Machine Learning
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
Jiachen T. Wang
Saeed Mahloujifar
Shouda Wang
R. Jia
Prateek Mittal
AAML
82
5
0
16 Sep 2022
On robustness and local differential privacy
On robustness and local differential privacy
Mengchu Li
Thomas B. Berrett
Yi Yu
85
26
0
03 Jan 2022
High Dimensional Differentially Private Stochastic Optimization with
  Heavy-tailed Data
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
Lijie Hu
Shuo Ni
Hanshen Xiao
Di Wang
145
53
0
23 Jul 2021
Optimal Private Median Estimation under Minimal Distributional
  Assumptions
Optimal Private Median Estimation under Minimal Distributional Assumptions
Christos Tzamos
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Ilias Zadik
71
22
0
12 Nov 2020
Differentially Private (Gradient) Expectation Maximization Algorithm
  with Statistical Guarantees
Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees
Di Wang
Jiahao Ding
Lijie Hu
Zejun Xie
Miao Pan
Jinhui Xu
19
0
0
22 Oct 2020
Duff: A Dataset-Distance-Based Utility Function Family for the
  Exponential Mechanism
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism
Andrés Munoz Medina
Jennifer Gillenwater
49
9
0
08 Oct 2020
1