RISE: repair-like insertions for stealthy evasion of vulnerability detection models
Pre-trained code models are increasingly used for vulnerability detection, yet their robustness against adversarial perturbations remains insufficiently explored. Existing attacks either focus on identifier-level modifications with limited perturbation space or rely on strong prior resources such as mispredicted sample...