2 papers
cs.SE2026
Learning from Failures: A Failure-Driven Prompt Refinement for LLM-Based Vulnerability Analysis
Mandana Ghadamian, David Mohaisen
Large Language Models have emerged as promising tools for software vulnerability analysis, but their effectiveness depends heavily on prompt design. Existing research primarily com…
cs.LG2026
PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection
Steffen J. Camarato, Yahya Hmaiti, Mandana Ghadamian +1
Large language models are increasingly used for vulnerability detection, yet their reliability under different prompt formulations remains uncharacterized. We present PromptAudit,…