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Abstract: Machine learning has emerged as a promising method for detecting code vulnerabilities. In existing research, models trained on available samples are applied to predict potential ...

Abstract: The rapid evolution of software development, propelled by competitive demands and the continuous integration of new features, frequently leads to inadvertent security oversights. Traditional ...