Author

Manish Motwani

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Book Open access Oct 2026

Vulnerability Trends across Open-Source AI-Attributed Code

Recent advances in large language models (LLMs) have led to widespread adoption of AI-coding tools and increasing deployment of AI-assisted code. While AI’s potential for programming productivity is becoming evident, the security of AI-attributed code is still poorly understood. In this work, we collect the largest set...

Clarisa Caballero-Ignacio, Lucas Stephens, Josiah Sage et al. · Proceedings of the 2nd Works... · 0 citations

Jul 2026

Kaizen: Metamorphic Fuzzing and Differential Testing for LLM-Translated HPC Applications

Kaizen, a metamorphic fuzzing and differential testing framework for evaluating the correctness of LLM-translated HPC code, is presented, revealing that compilation success is a poor proxy for correctness and full-program translation is substantially harder than kernel-level translation.

Oscar Ludwig, Ninad Anklesaria, Zheming Jin et al. · arXiv.org · 0 citations