EDAT-MTL, combining adversarial embedding training with multi-task learning, reports substantial F1 and localization gains over baselines on Big-Vul.
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Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning
EDAT-MTL, combining adversarial embedding training with multi-task learning, reports substantial F1 and localization gains over baselines on Big-Vul.