2 papers
cs.CL2025
Deep Contrastive Unlearning for Language Models
Estrid He, Tabinda Sarwar, Ibrahim Khalil +2
The past a few years have witnessed the great success of large language models, demonstrating powerful capabilities in comprehending textual data and generating human-like language…
cs.LG2024
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
Tao Huang, Ziyang Chen, Jiayang Meng +4
In the context of machine unlearning, the primary challenge lies in effectively removing traces of private data from trained models while maintaining model performance and security…