Data Release

Data release, the process of sharing data while preserving privacy, aims to balance the need for data accessibility with the protection of sensitive information. Current research focuses on developing differentially private mechanisms, employing techniques like optimal transport, and leveraging neural networks for obfuscation or synthetic data generation to achieve this balance, often focusing on specific data types like graphs or tabular data. These advancements are crucial for enabling data-driven research and applications across various fields, particularly in sensitive domains like healthcare and finance, while mitigating privacy risks.