Mohamed Abdur Rahman

Orcid: 0000-0002-4512-5830

Affiliations:
  • University of West Florida, Dept. of Intelligent Systems and Robotics, Florida, USA


According to our database1, Mohamed Abdur Rahman authored at least 10 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

White-box Fuzzing in the Wild: A Chaos Engineering Module for DevOps Security Education.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024
Enhancing HIPAA Compliance in AI-driven mHealth Devices Security and Privacy.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Authentic Learning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Fine-Tuned Variational Quantum Classifiers for Cyber Attacks Detection Based on Parameterized Quantum Circuits and Optimizers.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Mitigating Insecure Outputs in Large Language Models(LLMs): A Practical Educational Module.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Authentic Learning Approach for Data Poisoning Vulnerability in LLMs.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection.
Proceedings of the 2nd International Conference on Artificial Intelligence, 2024

2023
A Quantum Generative Adversarial Network-based Intrusion Detection System.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023


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