LLMSec-AV: A Vulnerability Taxonomy and LLM-Driven Software Weakness Discovery Framework for Autonomous Vehicles

Automated vehicles rely on millions of lines of safety-critical software, yet general-purpose analyzers do not understand which code can affect vehicle motion. This study asks whether large language models LLMs with explicit automated-vehicle AV security knowledge improve weakness detection beyon...

VeriCWEty: Embedding Enabled Line-Level CWE Detection in Verilog

Large Language Models LLMs have shown significant improvement in RTL code generation. Despite the advances, the generated code is often riddled with common vulnerabilities and weaknesses CWEs that can slip by untrained eyes. Attackers can often exploit these weaknesses to fulfill their nefarious...