Cover Image

Simulation-based, Finite-sample Inference for Privatized Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Awan, Jordan, Wang, Zhanyu
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory Cryptography and Security Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Debiased Inference on Privatized Data via Indirect Estimation and Parametric Bootstrap
by: Wang, Zhanyu, et al.
Published: (2025)

Statistical Inference for Privatized Data with Unknown Sample Size
by: Awan, Jordan, et al.
Published: (2024)

Differentially Private Covariate Balancing Causal Inference
by: Ohnishi, Yuki, et al.
Published: (2024)

Differentially Private Inference for Longitudinal Linear Regression
by: Sopa, Getoar, et al.
Published: (2026)

Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
by: Zhang, Zhe, et al.
Published: (2024)

One Step to Efficient Synthetic Data
by: Awan, Jordan, et al.
Published: (2020)

Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
by: Cai, T. Tony, et al.
Published: (2023)

Differentially Private Permutation Tests: Applications to Kernel Methods
by: Kim, Ilmun, et al.
Published: (2023)

Optimal Survey Design for Private Mean Estimation
by: Chen, Yu-Wei, et al.
Published: (2025)

Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
by: Covington, Christian, et al.
Published: (2021)

Monitoring Violations of Differential Privacy over Time
by: Askin, Önder, et al.
Published: (2025)

General-Purpose $f$-DP Estimation and Auditing in a Black-Box Setting
by: Askin, Önder, et al.
Published: (2025)

Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
by: Wang, Zhanyu, et al.
Published: (2022)

Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
by: Li, Xiang, et al.
Published: (2025)

Large-Sample Bayesian Approximations for Privatized Data
by: Awan, Jordan, et al.
Published: (2026)

Bayesian Adversarial Privacy
by: Bell, Cameron, et al.
Published: (2026)

Nonparametric extensions of randomized response for private confidence sets
by: Waudby-Smith, Ian, et al.
Published: (2022)

Federated Transfer Learning with Differential Privacy
by: Li, Mengchu, et al.
Published: (2024)

Differentially Private Finite Population Estimation via Survey Weight Regularization
by: Seeman, Jeremy, et al.
Published: (2024)

Differentially private projection-depth-based medians
by: Ramsay, Kelly, et al.
Published: (2023)

Differentially Private Joint Independence Test
by: Liu, Xingwei, et al.
Published: (2025)

Optimizing Noise for $f$-Differential Privacy via Anti-Concentration and Stochastic Dominance
by: Awan, Jordan, et al.
Published: (2023)

Private measures, random walks, and synthetic data
by: Boedihardjo, March, et al.
Published: (2022)

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
by: Chakraborty, Abhinav, et al.
Published: (2024)

Bayesian Inference Under Differential Privacy With Bounded Data
by: Kazan, Zeki, et al.
Published: (2024)

CURATE: Scaling-up Differentially Private Causal Graph Discovery
by: Bhattacharjee, Payel, et al.
Published: (2024)

Differentially Private Manifold Denoising
by: Wu, Jiaqi, et al.
Published: (2026)

On Differentially Private U Statistics
by: Chaudhuri, Kamalika, et al.
Published: (2024)

Debiasing Functions of Private Statistics in Postprocessing
by: Calmon, Flavio, et al.
Published: (2025)

Differentially Private Best-Arm Identification
by: Azize, Achraf, et al.
Published: (2024)

On Privately Estimating a Single Parameter
by: Asi, Hilal, et al.
Published: (2025)

Differentially Private Verification of Survey-Weighted Estimates
by: Lin, Tong, et al.
Published: (2024)

Sequential Change Detection for Multiple Data Streams with Differential Privacy
by: Zhang, Lixing, et al.
Published: (2026)

Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
by: Xia, Xintao, et al.
Published: (2024)

DP-SPRT: Differentially Private Sequential Probability Ratio Tests
by: Michel, Thomas, et al.
Published: (2025)

Differentially Private Synthetic Data with Private Density Estimation
by: Bojkovic, Nikolija, et al.
Published: (2024)

Contraction of Locally Differentially Private Mechanisms
by: Asoodeh, Shahab, et al.
Published: (2022)

Private Prediction Sets
by: Angelopoulos, Anastasios N., et al.
Published: (2021)

Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets
by: Nombo, Leila, et al.
Published: (2024)

Sequential Membership Inference Attacks
by: Michel, Thomas, et al.
Published: (2026)