A lightweight, gradient-efficient unlearning framework that maintains test accuracy and membership inference resilience at high data-removal ratios without requiring extra retraining. Unlearned ...

The course introduces a variety of central algorithms and methods essential for studies of statistical data analysis and machine learning. The course is project-based and through the various projects, ...