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Privacy-preserving parametric inference: a case for robust statistics

Privacy-preserving parametric inference: a case for robust statistics

22 November 2019
Marco Avella-Medina
ArXiv (abs)PDFHTML

Papers citing "Privacy-preserving parametric inference: a case for robust statistics"

15 / 15 papers shown
Title
Pre-Training Estimators for Structural Models: Application to Consumer Search
Pre-Training Estimators for Structural Models: Application to Consumer Search
Yanhao 'Max' Wei
Zhenling Jiang
170
0
0
01 May 2025
Robust probabilistic inference via a constrained transport metric
Robust probabilistic inference via a constrained transport metric
Abhisek Chakraborty
A. Bhattacharya
D. Pati
75
3
0
17 Mar 2023
The Test of Tests: A Framework For Differentially Private Hypothesis
  Testing
The Test of Tests: A Framework For Differentially Private Hypothesis Testing
Zeki Kazan
Kaiyan Shi
Adam Groce
Andrew Bray
56
9
0
08 Feb 2023
Robustness Implies Privacy in Statistical Estimation
Robustness Implies Privacy in Statistical Estimation
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
Shyam Narayanan
111
57
0
09 Dec 2022
Analyzing the Differentially Private Theil-Sen Estimator for Simple
  Linear Regression
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
Jayshree Sarathy
Salil P. Vadhan
64
7
0
27 Jul 2022
Hypothesis Testing for Differentially Private Linear Regression
Hypothesis Testing for Differentially Private Linear Regression
Daniel Alabi
Salil P. Vadhan
FedML
73
13
0
29 Jun 2022
Statistical Data Privacy: A Song of Privacy and Utility
Statistical Data Privacy: A Song of Privacy and Utility
Aleksandra B. Slavkovic
Jeremy Seeman
42
27
0
06 May 2022
Statistic Selection and MCMC for Differentially Private Bayesian
  Estimation
Statistic Selection and MCMC for Differentially Private Bayesian Estimation
Barış Alparslan
S. Yıldırım
44
3
0
24 Mar 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic
  Normality and Limitation
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation
Hajime Ono
Kazuhiro Minami
H. Hino
42
0
0
15 Feb 2022
Mitigating Statistical Bias within Differentially Private Synthetic Data
Mitigating Statistical Bias within Differentially Private Synthetic Data
Sahra Ghalebikesabi
H. Wilde
Jack Jewson
Arnaud Doucet
Sandra Jeanne Vollmer
Chris Holmes
SyDa
73
7
0
24 Aug 2021
Perturbed M-Estimation: A Further Investigation of Robust Statistics for
  Differential Privacy
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
Aleksandra B. Slavkovic
Roberto Molinari
47
5
0
05 Aug 2021
Subset Privacy: Draw from an Obfuscated Urn
Subset Privacy: Draw from an Obfuscated Urn
G. Wang
Jie Ding
44
2
0
02 Jul 2021
Differentially private inference via noisy optimization
Differentially private inference via noisy optimization
Marco Avella-Medina
Casey Bradshaw
Po-Ling Loh
FedML
90
31
0
19 Mar 2021
Exact Inference with Approximate Computation for Differentially Private
  Data via Perturbations
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations
Ruobin Gong
82
25
0
26 Sep 2019
Differentially private sub-Gaussian location estimators
Differentially private sub-Gaussian location estimators
Marco Avella-Medina
Victor-Emmanuel Brunel
60
18
0
27 Jun 2019
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