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Vulnerability classifiers

A pipeline to classify vulnerable code
A simple attempt at defining a vulnerability classifier using categorical encoding and a basic neural network with a single hidden layer produces 86% accuracy on the artificial Java Juliet dataset. Later on we will optimize and adapt these steps to build a more accurate classifier.
User icon Rafael Ballestas
Folder icon machine learning
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2019-10-04




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Rafael Ballestas



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