:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hore, Gaurab, McElroy, Tucker, Roy, Anindya
Format:	Preprint
Published:	2024
Subjects:	Methodology Cryptography and Security
Online Access:	https://arxiv.org/abs/2411.17035
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Complexities of Differential Privacy for Survey Data
by: Drechsler, Jörg, et al.
Published: (2024)

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)

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

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

Slowly Scaling Per-Record Differential Privacy
by: Finley, Brian, et al.
Published: (2024)

Balancing the privacy-utility trade-off: How to draw reliable conclusions from private data
by: de Fondeville, Raphaël
Published: (2026)

Sequentially Auditing Differential Privacy
by: González, Tomás, et al.
Published: (2025)

Privacy Preserving Adaptive Experiment Design
by: Li, Jiachun, et al.
Published: (2024)

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

Auditing Differential Privacy in the Black-Box Setting
by: Shi, Kaining, 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)

Data anonymization in the presence of outliers via invariant coordinate selection
by: Perkonoja, Katariina, et al.
Published: (2026)

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

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

A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research
by: Bhadani, Rahul
Published: (2024)

Fed-AugMix: Balancing Privacy and Utility via Data Augmentation
by: Li, Haoyang, et al.
Published: (2024)

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
by: Haydari, Ammar, et al.
Published: (2021)

Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence
by: Sedraoui, Brahim Khalil, et al.
Published: (2026)

SILENT: A New Lens on Statistics in Software Timing Side Channels
by: Dunsche, Martin, et al.
Published: (2025)

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

Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments
by: Drury, Kieran, et al.
Published: (2024)

Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
by: Awasthi, Anant Prakash, et al.
Published: (2024)

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

Causal Discovery Under Local Privacy
by: Binkytė, Rūta, et al.
Published: (2023)

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

Asymptotic utility of spectral anonymization
by: Perkonoja, Katariina, et al.
Published: (2024)

Differentially Private Finite Population Estimation via Survey Weight Regularization
by: Seeman, Jeremy, 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)

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

Bistochastically private release of longitudinal data
by: Ruiz, Nicolas
Published: (2025)

Simulation-based, Finite-sample Inference for Privatized Data
by: Awan, Jordan, et al.
Published: (2023)

Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments
by: Singh, Bikash Chandra, et al.
Published: (2025)

De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
by: Srivastava, Sanjari, et al.
Published: (2024)

Distribution-Aware Mean Estimation under User-level Local Differential Privacy
by: Pla, Corentin, et al.
Published: (2024)

Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis
by: Perusquía, José A., et al.
Published: (2020)

A robust statistical framework for cyber-vulnerability prioritisation under partial information in threat intelligence
by: Angelelli, Mario, et al.
Published: (2023)

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
by: Lange, Martin, et al.
Published: (2025)

The Privacy-Utility Trade-off in the Topics API
by: Alvim, Mário S., et al.
Published: (2024)

A Refreshment Stirred, Not Shaken: Invariant-Preserving Deployments of Differential Privacy for the U.S. Decennial Census
by: Bailie, James, et al.
Published: (2025)