Enhancing Safety of Large Language Models via Embedding Space Separation.

arXiv:2603.20206v2 Announce Type: replace-cross Abstract: Safety alignment does not fully prevent large language models (LLMs) from producing harmful content under adversarial attacks. We observe that existing attack methods typically move harmful embeddings t