Research paper

Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees

Research from Open JournalsPublished by Journal of Open Source Software3 January 2025PDF

Examine how Metasyn generates synthetic tabular datasets with transparent generation choices and privacy considerations.

Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees cover

Resource access

Get the full resource

Enter your business details to read the full resource.

First nameLast nameWork emailCompanyJob titleCountry or region

Raoul Schram, Samuel Spithorst, Erik-Jan van Kesteren. Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees. Journal of Open Source Software. 10.21105/joss.07099. CC BY 4.0. Original PDF, unmodified.

CC BY 4.0

Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees

Related research.

Metaxy: Record-Level Feature Metadata Management for Multimodal ML Pipelines

BenchmarkDataNLP.jl: Synthetic Data Generation for NLP Benchmarking

ETLForge: A unified framework for synthetic test-data generation and ETL validation