Speaker: Dr. Artrim Kjamilji

This seminar discusses how machine learning models widely used in fields such as healthcare, cybersecurity, and finance can be applied under privacy and security constraints. It presents a secure machine learning framework based on encrypted linear algebra methods that both protects data privacy and is resilient to quantum computer attacks, while remaining efficient and scalable.