Optimal Differentially Private Randomized Response Designs to Collect Sensitive Binary Data
Fuente:
arXiv
Saved in:
| Main Authors: | Karmakar, Bittu, Ghosh, Palash |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Adaptive SMART Designs with Binary Outcomes
by: Ghosh, Rik, et al.
Published: (2023)
by: Ghosh, Rik, et al.
Published: (2023)
Robustness and Efficiency of Rosenbaum's Rank-based Estimator in Randomized Trials: A Design-based Perspective
by: Ghosh, Aditya, et al.
Published: (2021)
by: Ghosh, Aditya, et al.
Published: (2021)
Differentially Private Estimation of Weighted Average Treatment Effects for Binary Outcomes
by: Guha, Sharmistha, et al.
Published: (2024)
by: Guha, Sharmistha, et al.
Published: (2024)
Differentially Private Methods for Compositional Data
by: Guo, Qi, et al.
Published: (2022)
by: Guo, Qi, et al.
Published: (2022)
Using a Two-Parameter Sensitivity Analysis Framework to Efficiently Combine Randomized and Non-randomized Studies
by: Yu, Ruoqi, et al.
Published: (2024)
by: Yu, Ruoqi, et al.
Published: (2024)
Differentially Private Conformal Prediction via Quantile Binary Search
by: Romanus, Ogonnaya M., et al.
Published: (2025)
by: Romanus, Ogonnaya M., et al.
Published: (2025)
Differentially Private Fisher Randomization Tests for Binary Outcomes
by: Sun, Qingyang, et al.
Published: (2025)
by: Sun, Qingyang, et al.
Published: (2025)
Logistic Regression Model for Differentially-Private Matrix Masked Data
by: Nghiem, Linh H, et al.
Published: (2024)
by: Nghiem, Linh H, et al.
Published: (2024)
The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response
by: Azriel, David, et al.
Published: (2022)
by: Azriel, David, et al.
Published: (2022)
Robust Joint Modeling for Data with Continuous and Binary Responses
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
Optimal Differentially Private Ranking from Pairwise Comparisons
by: Cai, T. Tony, et al.
Published: (2025)
by: Cai, T. Tony, et al.
Published: (2025)
Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming
by: Heng, Siyu, et al.
Published: (2022)
by: Heng, Siyu, et al.
Published: (2022)
Robust Estimation for Dependent Binary Network Data
by: Liu, Tianyu, et al.
Published: (2025)
by: Liu, Tianyu, et al.
Published: (2025)
ROSE: Randomized Optimal Selection Design for Dose Optimization
by: Wang, Shuqi, et al.
Published: (2025)
by: Wang, Shuqi, et al.
Published: (2025)
Statistical Modeling of Combinatorial Response Data
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
Improving the Variance of Differentially Private Randomized Experiments through Clustering
by: Javanmard, Adel, et al.
Published: (2023)
by: Javanmard, Adel, et al.
Published: (2023)
MDAS: A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning
by: Ghosh, Palash, et al.
Published: (2022)
by: Ghosh, Palash, et al.
Published: (2022)
Fiducial Matching: Differentially Private Inference for Categorical Data
by: Romanus, Ogonnaya Michael, et al.
Published: (2025)
by: Romanus, Ogonnaya Michael, et al.
Published: (2025)
Path Analysis for Binary Random Variables
by: Raggi, Martina, et al.
Published: (2021)
by: Raggi, Martina, et al.
Published: (2021)
Differentially Private Boxplots
by: Ramsay, Kelly, et al.
Published: (2024)
by: Ramsay, Kelly, et al.
Published: (2024)
Versatile Differentially Private Learning for General Loss Functions
by: Lu, Qilong, et al.
Published: (2025)
by: Lu, Qilong, et al.
Published: (2025)
Differentially Private Computation of the Gini Index for Income Inequality
by: Lan, Wenjie, et al.
Published: (2025)
by: Lan, Wenjie, et al.
Published: (2025)
Differentially Private Bayesian Inference for Gaussian Copula Correlations
by: Wang, Shuo, et al.
Published: (2026)
by: Wang, Shuo, et al.
Published: (2026)
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
by: Cai, T. Tony, et al.
Published: (2024)
by: Cai, T. Tony, et al.
Published: (2024)
Differentially Private Multivariate Statistics with an Application to Contingency Table Analysis
by: Kim, Minwoo, et al.
Published: (2022)
by: Kim, Minwoo, et al.
Published: (2022)
A Randomized Exchange Algorithm for Optimal Design of Multi-Response Experiments
by: Somogyi, Pál, et al.
Published: (2024)
by: Somogyi, Pál, et al.
Published: (2024)
Optimal Debiased Inference on Privatized Data via Indirect Estimation and Parametric Bootstrap
by: Wang, Zhanyu, et al.
Published: (2025)
by: Wang, Zhanyu, et al.
Published: (2025)
Pseudo-Bayesian Optimal Designs for Fitting Fractional Polynomial Response Surface Models
by: Trinca, Luzia A., et al.
Published: (2025)
by: Trinca, Luzia A., et al.
Published: (2025)
Sensitivity Analysis for Matched Observational Studies with Continuous Exposures and Binary Outcomes
by: Zhang, Jeffrey, et al.
Published: (2024)
by: Zhang, Jeffrey, et al.
Published: (2024)
Bayesian Methods to Improve The Accuracy of Differentially Private Measurements of Constrained Parameters
by: Janicki, Ryan, et al.
Published: (2024)
by: Janicki, Ryan, et al.
Published: (2024)
Differentially Private Algorithms for Linear Queries via Stochastic Convex Optimization
by: Micali, Giorgio, et al.
Published: (2024)
by: Micali, Giorgio, et al.
Published: (2024)
Bridging the Gap Between Design and Analysis: Randomization Inference and Sensitivity Analysis for Matched Observational Studies with Treatment Doses
by: Zhang, Jeffrey, et al.
Published: (2024)
by: Zhang, Jeffrey, et al.
Published: (2024)
Differentially Private Verification of Survey-Weighted Estimates
by: Lin, Tong, et al.
Published: (2024)
by: Lin, Tong, et al.
Published: (2024)
Differentiable Structure Learning and Causal Discovery for General Binary Data
by: Deng, Chang, et al.
Published: (2025)
by: Deng, Chang, et al.
Published: (2025)
Differentially Private E-Values
by: Csillag, Daniel, et al.
Published: (2025)
by: Csillag, Daniel, et al.
Published: (2025)
A Compound Logistic Regression Model for Binary Responses
by: Almudevar, Anthony, et al.
Published: (2026)
by: Almudevar, Anthony, et al.
Published: (2026)
Flexible Bayesian Modeling for Longitudinal Binary and Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2023)
by: Kang, Jizhou, et al.
Published: (2023)
Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Gaussian Differentially Private $e$-values: Construction, Threshold Calibration, and Multiple Testing
by: Kuang, Qi, et al.
Published: (2026)
by: Kuang, Qi, et al.
Published: (2026)
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
by: Cai, T. Tony, et al.
Published: (2023)
by: Cai, T. Tony, et al.
Published: (2023)
Similar Items
-
Optimal Adaptive SMART Designs with Binary Outcomes
by: Ghosh, Rik, et al.
Published: (2023) -
Robustness and Efficiency of Rosenbaum's Rank-based Estimator in Randomized Trials: A Design-based Perspective
by: Ghosh, Aditya, et al.
Published: (2021) -
Differentially Private Estimation of Weighted Average Treatment Effects for Binary Outcomes
by: Guha, Sharmistha, et al.
Published: (2024) -
Differentially Private Methods for Compositional Data
by: Guo, Qi, et al.
Published: (2022) -
Using a Two-Parameter Sensitivity Analysis Framework to Efficiently Combine Randomized and Non-randomized Studies
by: Yu, Ruoqi, et al.
Published: (2024)