2 papers
cs.LG2025
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
Zhehao Huang, Xinwen Cheng, Jie Zhang +5
Recent advancements in deep models have highlighted the need for intelligent systems that combine continual learning (CL) for knowledge acquisition with machine unlearning (MU) for…
cs.LG2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Zhehao Huang, Xinwen Cheng, JingHao Zheng +4
Machine unlearning (MU) has emerged to enhance the privacy and trustworthiness of deep neural networks. Approximate MU is a practical method for large-scale models. Our investigati…