Work

Deep Learning for Source Code Vulnerability Detection using Code Graphs

Year: 2025
Type: dissertation
Abstract: This thesis proposes improvements to the process of detecting security vulnerabilities in computer programs using artificial intelligence. These improvements include a method for intelligently reducing the size of programs for faster and more accurate processing, a novel approach to representing code by treating it as both a language and a graph, and a model capable of identifying regions within the programs most likely to contain vulnerabilities.
Author: Joseph Gear
Language: English
Open Access status: green
OpenAlex ID: W4414588104
Cites: 31
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Related to: 10