Generation and Evaluation of Privacy-Preserving Tabular Synthetic Data Using Self-Attention Generative Adversarial Networks
The rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) have led to the generation of synthetic data using Generative Adversarial Networks (GANs). The generation of high-fidelity synthetic data has become increasingly important in various fields, including healthcare, finance, and social scienc...