Work

Privacy and Utility Evaluation of Synthetic Tabular Data for Machine Learning

Year: 2024

Type: conference-paper

Source: IFIP advances in information and communication technology

DOI: 10.1007/978-3-031-57978-3_17

Authors: Felix Hermsen, Avikarsha Mandal

Institutions: Fraunhofer Institute for Applied Information Technology, RWTH Aachen University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4395007007

FWCI: 0.294

Cites: 18

Cited by: 1

Related to: 10