Not All Refusals Are Equal: How Safety Alignment Fails Cybersecurity at Scale
There is no doubt that safety alignment is an essential step in LLM training. However, conceptually it does not distinguish between various domains and the level of potential harm of a query, which creates significant complications in the fields like cyber security, where a model should not be constrained by its safety circuits to accomplish the goals of legitimate, authorized operations. In this work, we share our findings from a large scale abliteration experiment on 24 open-source LLMs and show that domain-specific abliteration is achievable with standard methodology on the example of a 1T-parameter Kimi K2. Building on recent work showing that refusal in LLMs occupies a multi-dimensio...
| Authors | Vadym Hadetskyi, Dario Pasquini, Artem Sorokin |
|---|---|
| Primary category | cs.CR |
| Published | 2 July 2026 |
| Last updated at source | 7 July 2026 |
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