How To Detect Software Vulnerabilities In Source Code Using Machine Learning - Inovex GmbH
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How To Detect Software Vulnerabilities In Source Code Using Machine Learning - Inovex GmbH
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A transformer-based IDE extension for vulnerability detection
A transformer-based IDE extension for vulnerability detection
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 model achieves a remarkable performance (average Accuracy %3D 98.6%25%2C average F-Score %3D 94.7%25%2C average Precision %3D 96.2%25%2C average Recall %3D 93.3%25%2C average ROC %3D 99.3%25)%2C thereby%2C establishing a new benchmark for vulnerability detection in Python source code.?resize=91,91 "Machine Learning Techniques For Python Source Code Vulnerability Detection | AI Research Paper ...")
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