9 citations · 11 across the 5 of their papers we have counts for
5 papers
CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation
Dylan Manuel, Paul Rad
The generation of large, high-quality datasets for code understanding and generation remains a significant challenge, particularly when aligning decompiled binaries with their orig…
Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
Dylan Manuel, Nafis Tanveer Islam, Joseph Khoury +3
Security experts reverse engineer (decompile) binary code to identify critical security vulnerabilities. The limited access to source code in vital systems - such as firmware, driv…
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
Nafis Tanveer Islam, Mazal Bethany, Dylan Manuel +2
Software security remains a critical concern, particularly as junior developers, often lacking comprehensive knowledge of security practices, contribute to codebases. While there a…
Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph
Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manual +2
Open Source Software (OSS) security and resilience are worldwide phenomena hampering economic and technological innovation. OSS vulnerabilities can cause unauthorized access, data…
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel +2
Over the years, open-source software systems have become prey to threat actors. Even as open-source communities act quickly to patch the breach, code vulnerability screening should…