TensorFlow Privacy

Introduction to Differential Privacy in Machine Learning Differential privacy is a key concept in machine learning, aimed at protecting individual data. It ensures that sensitive information cannot be traced back to individuals. By adding noise to data, differential privacy maintains privacy while preserving the usefulness of the dataset. This approach is especially important for machine … Read more