Heng Xu

Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning

A concept-guided poisoning unlearning framework that explicitly identifies the concepts that contribute most strongly to the target class or knowledge and uses them to guide the model update, achieving effective unlearning across different tasks while largely preserving retained model utility.