Researchers propose a new method called Adversarial Skill Compositional Training (ASCoT) to enhance large language models' resilience against novel jailbreak attacks by leveraging past adversarial skills. This approach improves defense mechanisms without significantly increasing over-refusal rates, highlighting the importance of expanding skill coverage rather than just scaling data for better protection.
Read the full article at arXiv cs.LG (ML)
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