An evaluation of seven deep learning vulnerability detectors shows low consistency and poor generalization, and finds that code features beyond CWE labels strongly influence detection results.
Arbiter: Bridging the static and dynamic divide in vulnerability discovery on binary programs,
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It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective
An evaluation of seven deep learning vulnerability detectors shows low consistency and poor generalization, and finds that code features beyond CWE labels strongly influence detection results.