Privacy through Synthesis: Exploration of Tabular Synthetic Data Generation Methods and Quality Assessment

Department of Computer Science and Engineering, Faculty of Engineering, Symbiosis Institute of Technology-Pune Campus, Symbiosis International (Deemed University), Pune, India

Department of Computer Science and Engineering, Kolhapur Institute of Technology’s College of Engineering, Kolhapur (Empowered Autonomous), Kolhapur, India

Pooja Bagane

Department of Computer Science and Engineering, Symbiosis Institute of Technology-Pune Campus, Symbiosis International (Deemed University), Pune, India

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DOI: https://doi.org/10.2478/ijssis-2026-0040 | Journal eISSN: 1178-5608

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Language: English

Submitted on: Jun 20, 2025

Published on: Jul 11, 2026

Published by: International Journal on Smart Sensing and Intelligent Systems

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

data privacy,

synthetic data,

tabular data generation,

quality assessment,

GAN

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2026 Bhagyashree Chougule, Pooja Bagane, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2026): Issue 1 (January 2026)