Author

Maitreyee Das Urmi

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#artificial intelligence Preprint Sep 2026

Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code

Advances in large language models (LLMs) fuel the quest for scalable methods to assess the security of generated and security-sensitive software. Static analysis is widely adopted as a scalable, reproducible, and inexpensive security gate, but cannot directly observe runtime exploit behaviour. Vulnerabilities dependent...

Jessica Pourleyli, Maitreyee Das Urmi, Glaucia Melo · 0 citations

Preprint Aug 2026

Prompt Structure Redistributes, Not Reduces: An Empirical Analysis of Security-Weaknesses in LLM-Generated Python Code

Overall, prompt structure improves compliance but is an unreliable substitute for robust security controls in LLM-assisted development.

Maitreyee Das Urmi, Jessica Pourleyli, Fabio Santos et al. · 0 citations