Synthetic data, data augmentation and developing the data de-identification

Synthetic data is artificial data that is created by using different algorithms that mirror the statistical properties of the original data but does not reveal any information regarding real people. Synthetic data generated with the purpose of preserving privacy, testing systems or creating training data for machine learning algorithms. But Synthetic data generation is critical since it is an important factor in the quality of synthetic data; for example, synthetic data that can be reverse-engineered to identify real data would not be useful in privacy enhancement.
https://osrc.network/synthetic-data/