190 citations · 331 across the 11 of their papers we have counts for
11 papers
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
Nafis Tanveer Islam, Joseph Khoury, Andrew Seong +4
In software development, the predominant emphasis on functionality often supersedes security concerns, a trend gaining momentum with AI-driven automation tools like GitHub Copilot.…
Federated Learning Approach for Distributed Ransomware Analysis
Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh +4
Researchers have proposed a wide range of ransomware detection and analysis schemes. However, most of these efforts have focused on older families targeting Windows 7/8 systems. He…
IoT Threat Detection Testbed Using Generative Adversarial Networks
Farooq Shaikh, Elias Bou-Harb, Aldin Vehabovic +3
The Internet of Things(IoT) paradigm provides persistent sensing and data collection capabilities and is becoming increasingly prevalent across many market sectors. However, most I…
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution
Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani +4
Researchers have proposed a wide range of ransomware detection and analysis schemes. However, most of these efforts have focused on older families targeting Windows 7/8 systems. He…
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…
Ransomware Detection and Classification Strategies
Aldin Vehabovic, Nasir Ghani, Elias Bou-Harb +2
Ransomware uses encryption methods to make data inaccessible to legitimate users. To date a wide range of ransomware families have been developed and deployed, causing immense dama…