Original paper

μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection

Pages: 1 - 1
Published: Jan 1, 2019
Abstract
Fine-grained software vulnerability detection is an important and challenging problem. Ideally, a detection system (or detector) not only should be able to detect whether or not a program contains vulnerabilities, but also should be able to pinpoint the type of a vulnerability in question. Existing vulnerability detection methods based on deep learning can detect the presence of vulnerabilities (i.e., addressing the binary classification or...
Paper Details
Title
μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Published Date
Jan 1, 2019
Pages
1 - 1
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