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Author

Yu-Qiao Ning

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Open access 2026

An Empirical Study of Large Language Models for Risk Verification in Automotive Binary Programs

Large Language Models (LLMs) have become a key driver of productivity advancement; however, research on LLMs in the context of automotive conformity assessment remains limited. This paper investigates the application of LLMs to risk verification under automotive conformity assessment. First, through expert manual analy...

Ya-Nan Zhang, Long-Hai Yu, Qian-Chuang Zhi et al. · 0 citations
Conference Aug 2026

Measuring Incomplete Hardening Across Production-Class Automotive Firmware Stacks

Vehicle firmware often contains security components whose effective deployment cannot be inferred from their presence alone. This paper examines four anonymized production-class firmware corpora: an Adaptive AUTOSAR-class ADAS platform, a domain-controller–IVI pair, a distributed multi-ECU ADAS network, and a split And...

Xue-Bin Shao, Zheng Wang, Yu-Qiao Ning et al. · 0 citations

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