Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
A new framework called POLARIS has been introduced to enhance safety testing for Large Language Models (LLMs). This framework systematically generates safety tests from policy specifications by converting unstructured natural-language policies into formal logic representations. POLARIS aims to provide a more rigorous and automated approach to ensuring compliance with safety-critical policies.
- ▪POLARIS compiles natural-language policies into First-Order Logic representations.
- ▪The framework creates a Semantic Policy Graph to encode complex policy violation scenarios.
- ▪Experiments show that POLARIS achieves higher policy coverage compared to existing methods.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.24883 |
| Publication time | Tue, 26 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-26T04:07:43.013Z |
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Computer Science > Artificial Intelligence arXiv:2605.24883 (cs) [Submitted on 24 May 2026] Title:Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications Authors:Xiaoyue Lu, Xianglin Yang, Haijun Liu, Jiahao Liu, Kuntai Cai, Yan Xiao, Jin Song Dong View a PDF of the paper titled Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications, by Xiaoyue Lu and Xianglin Yang and Haijun Liu and Jiahao Liu and Kuntai Cai and Yan Xiao and Jin Song Dong View PDF HTML (experimental) Abstract:The widespread integration of Large Language Models (LLMs) necessitates rigorous and systematic safety evaluation.
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