2026
One-Turn Knockout: Traceable and Editable Proxy Unlearning Under Asymmetric Access Constraints
IJCAI 2026
Machine unlearning (MUL) aims to remove the influence of specific data from a trained model for data privacy and model adaptability. Existing MUL methods mostly assume the internal parameters and the training data of the target model are accessible. Nevertheless, in most practical scenarios, the mod