Table 4 Performance evaluation of the proposed vulnerability detector using well-known datasets.

From: Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction

Dataset

Precision

Recall

F1 score

FUNDED

0.95

0.92

0.91

Vul4J

0.96

0.96

0.95

CVEfixes

0.98

0.95

0.93

CodeXGLUE

0.96

0.98

0.99

SARD

0.98

0.97

0.95

VUDDY

0.92

0.97

0.97

Juliet java 1.3

0.98

0.95

0.96