Machine Unlearning: Protecting Privacy and Integrity in Machine Learning Models

Machine unlearning focuses on methodologies and algorithms that enable the selective removal or de-emphasis of data from machine learning models, ensuring compliance with privacy regulations without unduly compromising model performance.