Yingxu Li

Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations

Large language models (LLMs) achieve remarkable performance across various domains, largely due to training on massive datasets. However, this also raises growing concerns over the exposure of sensitive and private information, making model unlearning increasingly critical.However, existing methods