The Complexities of Differential Privacy for Survey Data
Fuente:
arXiv
Saved in:
| Main Authors: | Drechsler, Jörg, Bailie, James |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Refreshment Stirred, Not Shaken: Invariant-Preserving Deployments of Differential Privacy for the U.S. Decennial Census
by: Bailie, James, et al.
Published: (2025)
by: Bailie, James, et al.
Published: (2025)
Bayesian Inference Under Differential Privacy With Bounded Data
by: Kazan, Zeki, et al.
Published: (2024)
by: Kazan, Zeki, et al.
Published: (2024)
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
by: Kazan, Zeki, et al.
Published: (2023)
by: Kazan, Zeki, et al.
Published: (2023)
Slowly Scaling Per-Record Differential Privacy
by: Finley, Brian, et al.
Published: (2024)
by: Finley, Brian, 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)
A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research
by: Bhadani, Rahul
Published: (2024)
by: Bhadani, Rahul
Published: (2024)
Differentially Private Finite Population Estimation via Survey Weight Regularization
by: Seeman, Jeremy, et al.
Published: (2024)
by: Seeman, Jeremy, et al.
Published: (2024)
Sequentially Auditing Differential Privacy
by: González, Tomás, et al.
Published: (2025)
by: González, Tomás, et al.
Published: (2025)
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
by: Covington, Christian, et al.
Published: (2021)
by: Covington, Christian, et al.
Published: (2021)
Achieving Privacy Utility Balance for Multivariate Time Series Data
by: Hore, Gaurab, et al.
Published: (2024)
by: Hore, Gaurab, et al.
Published: (2024)
Auditing Differential Privacy in the Black-Box Setting
by: Shi, Kaining, et al.
Published: (2025)
by: Shi, Kaining, et al.
Published: (2025)
Monitoring Violations of Differential Privacy over Time
by: Askin, Önder, et al.
Published: (2025)
by: Askin, Önder, et al.
Published: (2025)
Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling
by: Chakraborty, Richik, et al.
Published: (2026)
by: Chakraborty, Richik, et al.
Published: (2026)
The Five Safes as a Privacy Context
by: Bailie, James, et al.
Published: (2025)
by: Bailie, James, et al.
Published: (2025)
Federated Transfer Learning with Differential Privacy
by: Li, Mengchu, et al.
Published: (2024)
by: Li, Mengchu, et al.
Published: (2024)
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Data anonymization in the presence of outliers via invariant coordinate selection
by: Perkonoja, Katariina, et al.
Published: (2026)
by: Perkonoja, Katariina, et al.
Published: (2026)
Privacy Preserving Adaptive Experiment Design
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, 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)
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
by: Srivastava, Sanjari, et al.
Published: (2024)
by: Srivastava, Sanjari, et al.
Published: (2024)
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
by: Pla, Corentin, et al.
Published: (2024)
by: Pla, Corentin, et al.
Published: (2024)
Obtaining $(ε,δ)$-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables
by: Jackson, James, et al.
Published: (2024)
by: Jackson, James, et al.
Published: (2024)
Differentially Private E-Values
by: Csillag, Daniel, et al.
Published: (2025)
by: Csillag, Daniel, et al.
Published: (2025)
SILENT: A New Lens on Statistics in Software Timing Side Channels
by: Dunsche, Martin, et al.
Published: (2025)
by: Dunsche, Martin, et al.
Published: (2025)
Differentially Private Covariate Balancing Causal Inference
by: Ohnishi, Yuki, et al.
Published: (2024)
by: Ohnishi, Yuki, et al.
Published: (2024)
Differentially Private Range Queries with Correlated Input Perturbation
by: Dharangutte, Prathamesh, et al.
Published: (2024)
by: Dharangutte, Prathamesh, et al.
Published: (2024)
Majority Vote for Distributed Differentially Private Sign Selection
by: Liu, Weidong, et al.
Published: (2022)
by: Liu, Weidong, et al.
Published: (2022)
Improving the Variance of Differentially Private Randomized Experiments through Clustering
by: Javanmard, Adel, et al.
Published: (2023)
by: Javanmard, Adel, et al.
Published: (2023)
Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments
by: Drury, Kieran, et al.
Published: (2024)
by: Drury, Kieran, et al.
Published: (2024)
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects
by: Schröder, Maresa, et al.
Published: (2025)
by: Schröder, Maresa, et al.
Published: (2025)
Testing Credibility of Public and Private Surveys through the Lens of Regression
by: Basu, Debabrota, et al.
Published: (2024)
by: Basu, Debabrota, et al.
Published: (2024)
A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private?
by: Bailie, James, et al.
Published: (2025)
by: Bailie, James, et al.
Published: (2025)
Asymptotic utility of spectral anonymization
by: Perkonoja, Katariina, et al.
Published: (2024)
by: Perkonoja, Katariina, et al.
Published: (2024)
Bayesian Adversarial Privacy
by: Bell, Cameron, et al.
Published: (2026)
by: Bell, Cameron, et al.
Published: (2026)
Balancing the privacy-utility trade-off: How to draw reliable conclusions from private data
by: de Fondeville, Raphaël
Published: (2026)
by: de Fondeville, Raphaël
Published: (2026)
Debiasing Functions of Private Statistics in Postprocessing
by: Calmon, Flavio, et al.
Published: (2025)
by: Calmon, Flavio, et al.
Published: (2025)
Bistochastically private release of longitudinal data
by: Ruiz, Nicolas
Published: (2025)
by: Ruiz, Nicolas
Published: (2025)
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
by: Awasthi, Anant Prakash, et al.
Published: (2024)
by: Awasthi, Anant Prakash, et al.
Published: (2024)
Causal Discovery Under Local Privacy
by: Binkytė, Rūta, et al.
Published: (2023)
by: Binkytė, Rūta, et al.
Published: (2023)
Simulation-based, Finite-sample Inference for Privatized Data
by: Awan, Jordan, et al.
Published: (2023)
by: Awan, Jordan, et al.
Published: (2023)
Similar Items
-
A Refreshment Stirred, Not Shaken: Invariant-Preserving Deployments of Differential Privacy for the U.S. Decennial Census
by: Bailie, James, et al.
Published: (2025) -
Bayesian Inference Under Differential Privacy With Bounded Data
by: Kazan, Zeki, et al.
Published: (2024) -
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
by: Kazan, Zeki, et al.
Published: (2023) -
Slowly Scaling Per-Record Differential Privacy
by: Finley, Brian, et al.
Published: (2024) -
Differentially Private Verification of Survey-Weighted Estimates
by: Lin, Tong, et al.
Published: (2024)