Marwan Omar

According to our database1, Marwan Omar authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Web-Semantic-Driven Machine Learning and Blockchain for Transformative Change in the Future of Physical Education.
Int. J. Semantic Web Inf. Syst., 2024

2023
Millimeter-wave channel modeling in a VANETs using coding techniques.
PeerJ Comput. Sci., 2023

Does Synthetic Data Make Large Language Models More Efficient?
CoRR, 2023

Can pruning make Large Language Models more efficient?
CoRR, 2023

Can a student Large Language Model perform as well as it's teacher?
CoRR, 2023

Do Generative Large Language Models need billions of parameters?
CoRR, 2023

Detecting software vulnerabilities using Language Models.
CoRR, 2023

RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks.
CoRR, 2023

Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions.
CoRR, 2023

Harnessing the Power of Decision Trees to Detect IoT Malware.
CoRR, 2023

New Approach to Malware Detection Using Optimized Convolutional Neural Network.
CoRR, 2023

Text-Defend: Detecting Adversarial Examples using Local Outlier Factor.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

BcIIS: Blockchain-Based Intelligent Identification Scheme of Massive IoT Devices.
Proceedings of the IEEE Global Communications Conference, 2023

Privacy-Preserving EEG Signal Analysis with Electrode Attention for Depression Diagnosis: Joint FHE and CNN Approach.
Proceedings of the IEEE Global Communications Conference, 2023

VulDetect: A novel technique for detecting software vulnerabilities using Language Models.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022
Machine Learning for Cybersecurity - Innovative Deep Learning Solutions
Springer Briefs in Computer Science, Springer, ISBN: 978-3-031-15892-6, 2022

Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions.
IEEE Access, 2022

Making Adversarially-Trained Language Models Forget with Model Retraining: A Case Study on Hate Speech Detection.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Quantifying the Performance of Adversarial Training on Language Models with Distribution Shifts.
Proceedings of the CySSS@AsiaCCS'22: Proceedings of the 1st Workshop on Cybersecurity and Social Sciences, 2022

2021
Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis.
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021

2020
Net Neutrality Around the Globe: A Survey.
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

2017
Defending against malicious insiders: a conceptual framework for predicting, detecting, and deterring malicious insiders.
Int. J. Bus. Process. Integr. Manag., 2017


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