12 citations · 21 across the 6 of their papers we have counts for
6 papers
Detecting software vulnerabilities using Language Models
Marwan Omar
Recently, deep learning techniques have garnered substantial attention for their ability to identify vulnerable code patterns accurately. However, current state-of-the-art deep lea…
RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks
Marwan Omar
As machine learning (ML) systems are being increasingly employed in the real world to handle sensitive tasks and make decisions in various fields, the security and privacy of those…
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
Although backdoor learning is an active research topic in the NLP domain, the literature lacks studies that systematically categorize and summarize backdoor attacks and defenses. T…
Harnessing the Power of Decision Trees to Detect IoT Malware
Marwan Omar
Due to its simple installation and connectivity, the Internet of Things (IoT) is susceptible to malware attacks. Being able to operate autonomously. As IoT devices have become more…
New Approach to Malware Detection Using Optimized Convolutional Neural Network
Marwan Omar
Cyber-crimes have become a multi-billion-dollar industry in the recent years. Most cybercrimes/attacks involve deploying some type of malware. Malware that viciously targets every…
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar, Soohyeon Choi, DaeHun Nyang +1
Recent natural language processing (NLP) techniques have accomplished high performance on benchmark datasets, primarily due to the significant improvement in the performance of dee…