Mengyao Wang

Machine Unlearning via Adaptive Gradient Reweighting and Multi-stage Objective Optimization

Machine Unlearning (MU) focuses on removing the influence of training samples from pre-trained models without retraining the model entirely. Existing MU methods have made several efforts to enable complete forgetting while preserving the model's performance on remaining data. However, they typically