Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications

Safety-aligned language models often refuse cybersecurity requests whose wording resembles misuse, even when the task is authorized and defensive. This makes security evaluation ambiguous: a failed answer may reflect missing capability or refusal-policy intervention. Ablating Safety studies alignment removal as a controlled transformation-evaluation protocol for authorized security tasks, comparing authorized-context prompting, reversible refusal-direction activation projection, representation-c

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ethics.ai (17 May 2026), “Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications,” evidence record 4188, https://ethics.ai/record/4188 (originally published by arXiv).

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