Biometric Data

Biometric data, encompassing physiological and behavioral characteristics for identification, is a rapidly evolving field focused on improving accuracy, security, and privacy. Current research emphasizes developing robust anonymization techniques using generative models like GANs and diffusion models to protect sensitive information while preserving data utility for applications like authentication and health monitoring, alongside fairness-focused quality assessment algorithms. These advancements are crucial for addressing privacy concerns and enabling the responsible and ethical use of biometrics in various sectors, including security and healthcare.