Post-processing Private Synthetic Data for Improving Utility on Selected Measures Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan Greenewald, Akash Srivastava MIT-IBM Watson AI Lab

Oct-9-2025, 07:32:28 GMT–Neural Information Processing Systems 

The advancement of machine learning (ML) techniques relies on large amounts of training data. However, data collection also poses a significant risk of exposing private information.