Software source code vulnerability detection using advanced deep convolutional neural network. - Mansour Alqarni; Akramul Azim (CASCON, 2021)

Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model. - Mansour Alqarni; Akramul Azim (Canadian AI, 2022)

Mining Large Data to Create a Balanced Vulnerability Detection Dataset for Embedded Linux System. - Mansour Alqarni; Akramul Azim (BDCAT, 2022)

EVDD - A Novel Dataset For Embedded System Vulnerability Detection Mechanism. - Mansour Alqarni; Akramul Azim; Tegveer Singh (ICMLA, 2022)

Real-Time Detection of Bitstream Vulnerabilities in FPGAs. - Mansour Alqarni; Akramul Azim (ISORC, 2025)

An Advanced Detection Framework for Embedded System Vulnerabilities. - Mansour Alqarni; Akramul Azim (IEEE Access, 2025)

SecureLLAMA: Secure FPGAs Using LLAMA Large Language Models. - Mansour Alqarni; Akramul Azim (IEEE Trans. Artif. Intell., 2025)