Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks.

arXiv:2606.07970v2 Announce Type: replace-cross Abstract: Malicious finetuning attacks pose a major safety threat against open-weight large language models (LLMs). However, existing alignment-stage defenses provide limited protection against strong attacks tha