Abdul-Rauf Nuhu

According to our database, Abdul-Rauf Nuhu authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness.

Abdul-Rauf Nuhu, Parham M. Kebria, Vahid Hemmati, Benjamin Lartey, Mahmoud Nabil Mahmoud, Abdollah Homaifar, Edward W. Tunstel

IEEE Open J. Comput. Soc., 2026

2025

Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers.

Vahid Hemmati, Ahmad Mohammadi, Abdul-Rauf Nuhu, Reza Ahmari, Parham M. Kebria, Abdollah Homaifar

CoRR, November, 2025

A Data-Driven Approach for Performance Evaluation of Autonomous eVTOLs.

Mrinmoy Sarkar, Xuyang Yan, Biniam Gebru, Abdul-Rauf Nuhu, Kishor Datta Gupta, Kyriakos G. Vamvoudakis, Abdollah Homaifar

IEEE Trans. Aerosp. Electron. Syst., April, 2025

A Novel Flight Modeling Framework for Unmanned Aircraft in Realistic Airspace Encounters.

Lydia Zeleke, Benjamin Lartey, Abdul-Rauf Nuhu, Yonas Ayalew, Parham M. Kebria, Abdollah Homaifar

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2023

Local (Per-Input) Robustness Based Guided Adversarial training of Deep Neural Networks.

Abdul-Rauf Nuhu, Mahmoud Nabil, Yonas Ayalew, Vahid Hemmati, Abdollah Homaifar, Edward W. Tunstel

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

2022

Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints.

Abdul-Rauf Nuhu, Kishor Datta Gupta, Wendwosen Bellete Bedada, Mahmoud Nabil, Lydia Asrat Zeleke, Abdollah Homaifar, Edward W. Tunstel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Efficient Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles Using Deep Learning.

Richmond Asiedu Agyapong, Mahmoud Nabil, Abdul-Rauf Nuhu, Mushahid I. Rasul, Abdollah Homaifar

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (MOGA-FPS).

Abdul-Rauf Nuhu, Xuyang Yan, Daniel Opoku, Abdollah Homaifar

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021