How can I use Generative AI for creating synthetic data while preserving privacy

Question

Can you tell me How can I use Generative AI for creating synthetic data while preserving privacy?

Answer 1

Generative AI models like GANs and Diffusion Models can create synthetic data that retains statistical properties of real data without exposing sensitive information. 

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Preserves Statistical Properties: Ensures data distribution remains realistic.
• Differential Privacy: Adds noise to protect individual data points.
• Anonymization: Removes PII while maintaining usability.
• Bias Control: Reduces biases present in the original dataset.
• Scalability: Generates large datasets for training AI models without compliance risks.

Hence, by referring to the above, you can use Generative AI for creating synthetic data while preserving privacy