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cs.LG2026
A Model Merging Approach for Continual MLLM Unlearning
Yuhang Wang, Linlin Zhang, Haoxuan Ji +3
Multimodal large language model (MLLM) unlearning methods have been proposed to remove private, sensitive, or proprietary information from well-trained models. However, most existi…
cs.LG2025
Towards Aligned Data Forgetting via Twin Machine Unlearning
Zhenxing Niu, Haoxuan Ji, Yuyao Sun +4
Modern privacy regulations have spurred the evolution of machine unlearning, a technique enabling a trained model to efficiently forget specific training data. In prior unlearning…
cs.LG2024
Towards Aligned Data Removal via Twin Machine Unlearning
Haoxuan Ji, Zheng Lin, Yuyao Sun +4
Modern privacy regulations have spurred the evolution of machine unlearning, a technique that enables the removal of data from an already trained ML model without requiring retrain…