Work

To democratize research with sensitive data, we should make synthetic data more accessible

Year: 2024

Type: article

Abstract: For over 30 years, synthetic data have been heralded as a solution to make sensitive datasets accessible. However, despite much research effort, its adoption as a tool for research with sensitive data is lacking. This article argues that to make progress in this regard, the data science community should focus on improving the accessibility of existing privacy-friendly synthesis techniques.

Source: Patterns

DOI: 10.1016/j.patter.2024.101049

Author: Erik-Jan van Kesteren

Institution: Utrecht University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: gold

Estimated APC paid: $4,900