Cover Image

Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Perusquía, José A., Griffin, Jim E., Villa, Cristiano
Format:	Preprint
Published:	2020
Subjects:	Methodology Cryptography and Security Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling
by: Chakraborty, Richik, et al.
Published: (2026)

A multi-language toolkit for the semi-automated checking of research outputs
by: Preen, Richard J., et al.
Published: (2022)

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

Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
by: Perkonoja, Katariina, et al.
Published: (2023)

Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets
by: Nombo, Leila, 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)

Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
by: Wang, Ziyou, et al.
Published: (2026)

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

"Minus-One" Data Prediction Generates Synthetic Census Data with Good Crosstabulation Fidelity
by: Press, William H.
Published: (2024)

Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models
by: Deshmukh, Soham, et al.
Published: (2019)

A Public Dataset For the ZKsync Rollup
by: Silva, Maria Inês, et al.
Published: (2024)

A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
by: Camacho, Jose Manuel, et al.
Published: (2024)

Nested Dirichlet models for unsupervised attack pattern detection in honeypot data
by: Passino, Francesco Sanna, et al.
Published: (2023)

Eclipse Attack Detection on a Blockchain Network as a Non-Parametric Change Detection Problem
by: Gupta, Anurag, et al.
Published: (2024)

FPGA Digital Dice using Pseudo Random Number Generator
by: Hian, Michael Lim Kee, et al.
Published: (2024)

Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information
by: He, Meng, et al.
Published: (2026)

Exposed: Shedding Blacklight on Online Privacy
by: Shen, Lucas, et al.
Published: (2025)

Formal Privacy Guarantees with Invariant Statistics
by: Cho, Young Hyun, et al.
Published: (2024)

Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
by: Sarathy, Jayshree, et al.
Published: (2022)

Private and Collaborative Kaplan-Meier Estimators
by: Rahimian, Shadi, et al.
Published: (2023)

Privacy Violations in Election Results
by: Kuriwaki, Shiro, et al.
Published: (2023)

A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census
by: Abowd, John M., et al.
Published: (2023)

Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)

Assessing Utility of Differential Privacy for RCTs
by: Webb, Kaitlyn R., et al.
Published: (2023)

Noisy Measurements Are Important, the Design of Census Products Is Much More Important
by: Abowd, John M.
Published: (2023)

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

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

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

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)

Achieving Privacy Utility Balance for Multivariate Time Series Data
by: Hore, Gaurab, 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)

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

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

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

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