SCI (E) Journal Papers:

[J1] M. Hussain, Z. Shang, A. Dawod Mohammed Ibrahum and J. -E. Hong, "PEGAT: Prediction Error-Guided Adversarial Training to Enhance Robustness of Deep Learning Models in Autonomous Vehicles," in IEEE Access, vol. 13, pp. 154885-154897, 2025, doi: 10.1109/ACCESS.2025.3603337. (IF:3.6)

[J2] M. Hussain, Shang Zhengyu and J. -E. Hong*, "Adaptive Precision Layering for Efficient Adversarial Training of Deep Learning Models in Intelligent Vehicles," in Expert Systems with Applications , doi: https://doi.org/10.1016/j.eswa.2025.126752 . (IF:7.5)

[J3] M. Hussain and J. -E. Hong*, "Evaluating and Improving Adversarial Robustness of Deep Learning Models for Intelligent Vehicle Safety," in IEEE Transactions on Reliability, doi: 10.1109/TR.2024.3458805. (IF:5.7)

[J4] Hussain, Manzoor, and Jang-Eui Hong*. "Reconstruction-Based Adversarial Attack Detection in Vision-Based Autonomous Driving Systems." Machine Learning and Knowledge Extraction 5, no. 4 (2023): 1589-1611. (IF:6)

[J5] Hussain, Manzoor, Nazakat Ali, and Jang-Eui Hong*. "DeepGuard: A framework for safeguarding autonomous driving systems from inconsistent behaviour." Automated Software Engineering 29, no. 1 (2022): 1. (IF: 3.1) 

[J6] Hussain, Manzoor, Nazakat Ali, and Jang-Eui Hong*. "Vision beyond the field-of-view: A collaborative perception system to improve safety of intelligent cyber-physical systems." Sensors 22, no. 17 (2022): 6610. (IF: 3.5)

[J7] Ibrahum, A.D.M., Hussain, M. & Hong, JE *.  "Deep learning adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective. " Artif Intell Rev 58, 28 (2025).  (IF: 13.9) 

[J8] Ali, Nazakat, Manzoor Hussain, and Jang-Eui Hong*. "Safesocps: a composite safety analysis approach for system of cyber-physical systems." Sensors 22, no. 12 (2022): 4474. (IF:3.5)

[J9] Ali, Nazakat, Manzoor Hussain, and Jang-Eui Hong*. "Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems." Mathematics 9, no. 22 (2021): 2851. (IF:2.2)

[J10] Ali, Nazakat, Manzoor Hussain, and Jang-Eui Hong*. "Analyzing safety of collaborative cyber-physical systems considering variability." IEEE Access 8 (2020): 162701-162713. (IF:3.6)

Impact factor (2024)

International Conference Papers:

[C1] A. D. M. Ibrahum, M. Hussain, S. Zhengyu and J. -E. Hong *, "Investigating Robustness of Trainable Activation Functions for End-to-end Deep Learning Model in Autonomous Vehicles," 2024 Fifteenth International Conference on Ubiquitous and Future Networks (ICUFN), Budapest, Hungary, 2024, pp. 466-471, doi: 10.1109/ICUFN61752.2024.10624863.

[C2] Hussain, Manzoor, Jae-Won Suh, Bo-Seok Seo, and Jang-Eui Hong*. "How Reliable are the Deep Learning-based Anomaly Detectors? A Comprehensive Reliability Analysis of Autoencoder-based Anomaly Detectors." In 2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 317-322. IEEE, 2023. 

[C3] Hussain, Manzoor, and Jang-Eui Hong*. "Enforcing Safety in Cooperative Perception of Autonomous Driving Systems through Logistic Chaos Map-based End-to-End Encryption." In 2022 16th International Conference on Open Source Systems and Technologies (ICOSST), pp. 1-6. IEEE, 2022. 

[C4] Kim, Youngjae, Manzoor Hussain, Jae-Won Suh, and Jang-Eui Hong*. "Evaluating Correctness of Reinforcement Learning based on Actor-Critic Algorithm." In 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 320-325. IEEE, 2022. 

[C5] Hussain, Manzoor, Nazakat Ali, Youngjae Kim, and Jang-Eui Hong*. "Analyzing safety in collaborative cyber-physical systems: A platooning case study." In SOFTENG 2021 The Seventh International Conference on Advances and Trends in Software Engineering, pp. 16-22. 2021. 

[C6] Ali, Nazakat, Manzoor Hussain, Youngjae Kim, and Jang-Eui Hong*. "A generic framework for capturing reliability in cyber-physical systems." In Proceedings of the 2020 European symposium on software engineering, pp. 148-153. 2020. 

Local Conference Papers:

[C6] Hussain, M., Ali, N. and Hong, J.E*., 2023. Securing Safety in Collaborative Cyber-Physical Systems through Fault Criticality Analysis. arXiv preprint arXiv:2303.05732. [Best Paper Award]