Ensuring that the privacy parameter epsilon () in TensorFlow Privacy adheres to regulatory frameworks such as the General Data Protection Regulation (GDPR) while maintaining model utility involves a multifaceted approach, combining rigorous privacy accounting, principled choices in differential privacy (DP) configuration, and careful consideration of data utility trade-offs. This process encompasses a detailed understanding of