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Marwan Omar
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2020 – today
- 2024
- [j4]Wang Jun, Muhammad Shahid Iqbal, Rashid Abbasi, Marwan Omar, Huiqin Chu:
Web-Semantic-Driven Machine Learning and Blockchain for Transformative Change in the Future of Physical Education. Int. J. Semantic Web Inf. Syst. 20(1): 1-16 (2024) - 2023
- [j3]Arshee Ahmed, Haroon Rasheed, Ali Kashif Bashir, Marwan Omar:
Millimeter-wave channel modeling in a VANETs using coding techniques. PeerJ Comput. Sci. 9: e1374 (2023) - [c8]Marwan Omar, Stavros Shiaeles:
VulDetect: A novel technique for detecting software vulnerabilities using Language Models. CSR 2023: 105-110 - [c7]Yi Sun, Tong Xu, Ali Kashif Bashir, Jie Liu, Marwan Omar:
BcIIS: Blockchain-Based Intelligent Identification Scheme of Massive IoT Devices. GLOBECOM 2023: 1277-1282 - [c6]Huanze Dong, Jun Wu, Ali Kashif Bashir, Qianqian Pan, Marwan Omar, Anwer Al-Dulaimi:
Privacy-Preserving EEG Signal Analysis with Electrode Attention for Depression Diagnosis: Joint FHE and CNN Approach. GLOBECOM 2023: 4265-4270 - [c5]Marwan Omar, Gita Sukthankar:
Text-Defend: Detecting Adversarial Examples using Local Outlier Factor. ICSC 2023: 118-122 - [i10]Marwan Omar:
New Approach to Malware Detection Using Optimized Convolutional Neural Network. CoRR abs/2301.11161 (2023) - [i9]Marwan Omar:
Harnessing the Power of Decision Trees to Detect IoT Malware. CoRR abs/2301.12039 (2023) - [i8]Marwan Omar:
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions. CoRR abs/2302.06801 (2023) - [i7]Marwan Omar:
RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks. CoRR abs/2302.09420 (2023) - [i6]Marwan Omar:
Detecting software vulnerabilities using Language Models. CoRR abs/2302.11773 (2023) - [i5]Sia Gholami, Marwan Omar:
Do Generative Large Language Models need billions of parameters? CoRR abs/2309.06589 (2023) - [i4]Sia Gholami, Marwan Omar:
Can a student Large Language Model perform as well as it's teacher? CoRR abs/2310.02421 (2023) - [i3]Sia Gholami, Marwan Omar:
Can pruning make Large Language Models more efficient? CoRR abs/2310.04573 (2023) - [i2]Sia Gholami, Marwan Omar:
Does Synthetic Data Make Large Language Models More Efficient? CoRR abs/2310.07830 (2023) - 2022
- [b1]Marwan Omar:
Machine Learning for Cybersecurity - Innovative Deep Learning Solutions. Springer Briefs in Computer Science, Springer 2022, ISBN 978-3-031-15892-6, pp. 1-48 - [j2]Marwan Omar, Soohyeon Choi, Daehun Nyang, David Mohaisen:
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions. IEEE Access 10: 86038-86056 (2022) - [c4]Marwan Omar, Soohyeon Choi, Daehun Nyang, David Mohaisen:
Quantifying the Performance of Adversarial Training on Language Models with Distribution Shifts. CySSS@AsiaCCS 2022: 3-9 - [c3]Marwan Omar, David Mohaisen:
Making Adversarially-Trained Language Models Forget with Model Retraining: A Case Study on Hate Speech Detection. WWW (Companion Volume) 2022: 887-893 - [i1]Marwan Omar, Soohyeon Choi, DaeHun Nyang, David Mohaisen:
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions. CoRR abs/2201.00768 (2022) - 2021
- [c2]Mohammed Alkinoon, Marwan Omar, Manar Mohaisen, David Mohaisen:
Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis. CSoNet 2021: 171-183 - 2020
- [c1]Van Nguyen, Derek Mohammed, Marwan Omar, Passard Dean:
Net Neutrality Around the Globe: A Survey. ICICT 2020: 480-488
2010 – 2019
- 2017
- [j1]Marwan Omar, Derek Mohammed, Van Nguyen:
Defending against malicious insiders: a conceptual framework for predicting, detecting, and deterring malicious insiders. Int. J. Bus. Process. Integr. Manag. 8(2): 114-119 (2017)
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