2026
HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors
AAAI 2026technical
Recent advances in software vulnerability detection have been driven by Language Model (LM)-based approaches. However, these models remain vulnerable to adversarial attacks that exploit lexical and syntax perturbations, allowing critical flaws to evade detection. Existing black-box attacks on LM-bas