An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph. - Nafis Tanveer Islam; Gonzalo De La Torre Parra; Dylan Manuel; Elias Bou-Harb; Peyman Najafirad (EuroS&P, 2023)

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward. - Nafis Tanveer Islam; Joseph Khoury; Andrew Seong; Gonzalo De La Torre Parra; Elias Bou-Harb; Peyman Najafirad (CoRR, 2024)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models. - Nafis Tanveer Islam; Mohammad Bahrami Karkevandi; Peyman Najafirad (CoRR, 2024)

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 Manuel; Murtuza Jadliwala; Peyman Najafirad (CoRR, 2024)

Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis. - Nafis Tanveer Islam; Mazal Bethany; Dylan Manuel; Murtuza Jadliwala; Peyman Najafirad (CoRR, 2024)

Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs. - Nafis Tanveer Islam; Joseph Khoury; Andrew Seong; Elias Bou-Harb; Peyman Najafirad (CoRR, 2024)

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing. - Ana Nunez; Nafis Tanveer Islam; Sumit Kumar Jha 001; Peyman Najafirad (CoRR, 2024)

Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries. - Dylan Manuel; Nafis Tanveer Islam; Joseph Khoury; Ana Nunez; Elias Bou-Harb; Peyman Najafirad (CoRR, 2024)