DATA PRIVACY AND SECURITY

Catalog description

This course examines foundational models for safeguarding data privacy and security, alongside theoretical frameworks, algorithms, and novel technologies that enhance data protection across diverse applications. Students learn about the design and implementation of various methodologies, such as cryptographic protocols, secure computation techniques, and data sanitization methods, and assess them against three essential metrics: privacy/security, utility, and efficiency. (3 credit) fall