Pufferfish Privacy

Pufferfish privacy is a flexible privacy framework extending differential privacy to handle complex data scenarios and prior knowledge about sensitive information, addressing limitations in protecting individual data within larger datasets. Current research focuses on developing and refining Pufferfish mechanisms, particularly for reinforcement learning algorithms applied to population processes and extending the framework to quantum systems. This work aims to improve the privacy-utility trade-off in various applications, offering a more nuanced approach to data privacy than traditional methods and impacting fields like machine learning and quantum computing.