Niels Mndler
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126
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Crypto×1AI×1
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2026
SecPI: Secure Code Generation with Reasoning Models via Security Reasoning Internalization
The paper introduces SecPI, a fine-tuning pipeline that teaches reasoning language models (RLMs) to autonomously internalize structured security reasoning, significantly improving secure code generation without requiring explicit security prompts at inference.
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Papers
cs.CRcs.AIRecentApr 4, 2026
SecPI: Secure Code Generation with Reasoning Models via Security Reasoning Internalization
Hao Wang, Niels Mündler, Mark Vero, Jingxuan He +2 more
The paper introduces SecPI, a fine-tuning pipeline that teaches reasoning language models (RLMs) to autonomously internalize structured security reasoning, significantly improving secure code generati…
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