ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.00459
  4. Cited By
Differentially Private Inference for Binomial Data

Differentially Private Inference for Binomial Data

31 March 2019
Jordan Awan
Aleksandra B. Slavkovic
ArXiv (abs)PDFHTML

Papers citing "Differentially Private Inference for Binomial Data"

15 / 15 papers shown
Title
Statistical Inference for Privatized Data with Unknown Sample Size
Statistical Inference for Privatized Data with Unknown Sample Size
Jordan Awan
A. F. Barrientos
Nianqiao P. Ju
95
0
0
10 Jun 2024
General Inferential Limits Under Differential and Pufferfish Privacy
General Inferential Limits Under Differential and Pufferfish Privacy
J. Bailie
Ruobin Gong
81
1
0
27 Jan 2024
Simulation-based, Finite-sample Inference for Privatized Data
Simulation-based, Finite-sample Inference for Privatized Data
Jordan Awan
Zhanyu Wang
110
8
0
09 Mar 2023
Differentially Private Bootstrap: New Privacy Analysis and Inference
  Strategies
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
Zhanyu Wang
Guang Cheng
Jordan Awan
92
9
0
12 Oct 2022
Privacy Aware Experimentation over Sensitive Groups: A General Chi
  Square Approach
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
R. Friedberg
Ryan M. Rogers
56
3
0
17 Aug 2022
Differentially Private Kolmogorov-Smirnov-Type Tests
Differentially Private Kolmogorov-Smirnov-Type Tests
Jordan Awan
Yue Wang
79
5
0
12 Aug 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
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao P. Ju
Jordan Awan
Ruobin Gong
Vinayak A. Rao
80
25
0
01 Jun 2022
Privacy-Preserving Inference on the Ratio of Two Gaussians Using Sums
Privacy-Preserving Inference on the Ratio of Two Gaussians Using Sums
Jingang Miao
Yiming Paul Li
17
0
0
28 Oct 2021
Unbiased Statistical Estimation and Valid Confidence Intervals Under
  Differential Privacy
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
Christian Covington
Xi He
James Honaker
Gautam Kamath
99
26
0
27 Oct 2021
Canonical Noise Distributions and Private Hypothesis Tests
Canonical Noise Distributions and Private Hypothesis Tests
Jordan Awan
Salil P. Vadhan
92
11
0
09 Aug 2021
High-Dimensional Differentially-Private EM Algorithm: Methods and
  Near-Optimal Statistical Guarantees
High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
Zhe Zhang
Linjun Zhang
FedML
70
3
0
01 Apr 2021
Privacy-Preserving Randomized Controlled Trials: A Protocol for Industry
  Scale Deployment
Privacy-Preserving Randomized Controlled Trials: A Protocol for Industry Scale Deployment
Mahnush Movahedi
Benjamin M. Case
Andrew Knox
James Honaker
Li Li
Yiming Paul Li
Sanjay Saravanan
Shubho Sengupta
Erik Taubeneck
34
12
0
12 Jan 2021
One Step to Efficient Synthetic Data
One Step to Efficient Synthetic Data
Jordan Awan
Zhanrui Cai
106
7
0
03 Jun 2020
Privacy-preserving parametric inference: a case for robust statistics
Privacy-preserving parametric inference: a case for robust statistics
Marco Avella-Medina
57
51
0
22 Nov 2019
1