Land Cover and Land Use Detection using Semi-Supervised Learning. - Fahmida Tasnim Lisa; Md. Zarif Hossain; Sharmin Naj Mou; Shahriar Ivan; Md. Hasanul Kabir (CoRR, 2022)

FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application. - Md. Zarif Hossain; Ahmed Imteaj; Saika Zaman; Abdur Rahman Bin Shahid; Sajedul Talukder; M. Hadi Amini (DSC, 2023)

Assessing Wearable Human Activity Recognition Systems Against Data Poisoning Attacks in Differentially-Private Federated Learning. - Abdur Rahman Bin Shahid; Ahmed Imteaj; Shahriar Badsha; Md. Zarif Hossain (SMARTCOMP, 2023)

FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer. - Md. Zarif Hossain; Ahmed Imteaj (CoRR, 2023)

Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks. - Md. Zarif Hossain; Ahmed Imteaj (IEEE Big Data, 2024)

FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer. - Md. Zarif Hossain; Ahmed Imteaj; Abdur Rahman Bin Shahid (COMPSAC, 2024)

Enhancing Road Safety Through Cost-Effective, Real-Time Monitoring of Driver Awareness with Resource-Constrained IoT Devices. - Ahmed Imteaj; Tanveer Rahman; Saika Zaman; Md. Zarif Hossain; Abdur Rahman Bin Shahid (COMPSAC, 2024)

WatchOverGPT: A Framework for Real-Time Crime Detection and Response Using Wearable Camera and Large Language Model. - Abdur Rahman Bin Shahid; Syed Mhamudul Hasan; Malithi Wanniarachchi Kankanamge; Md. Zarif Hossain; Ahmed Imteaj (COMPSAC, 2024)

Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation. - Saika Zaman; Sajedul Talukder; Md. Zarif Hossain; Sai Puppala; Ahmed Imteaj (COMPSAC, 2024)

FLAMINGO: Adaptive and Resilient Federated Meta-Learning against Adversarial Attacks. - Md. Zarif Hossain; Ahmed Imteaj; Abdur Rahman Bin Shahid (ICDCSW, 2024)

TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency. - Ahmed Imteaj; Md. Zarif Hossain; Saika Zaman; Abdur Rahman Bin Shahid (ICMLA, 2024)

Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models. - Md. Zarif Hossain; Ahmed Imteaj (CoRR, 2024)

Benchmarking Large-Language Models for Resource-Efficient Medical AI for Edge Deployment. - Awal Ahmed Fime; Md. Zarif Hossain; Saika Zaman; Abdur Rahman Bin Shahid; Ahmed Imteaj (AAAI Spring Symposia, 2025)

Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks. - Awal Ahmed Fime; Md. Zarif Hossain; Saika Zaman; Abdur Rahman Bin Shahid; Ahmed Imteaj (CVPR Workshops, 2025)

SLADE: Shielding against Dual Exploits in Large Vision-Language Models. - Md. Zarif Hossain; Ahmed Imteaj (CVPR, 2025)

Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions. - M. Hadi Amini; Md. Jueal Mia; Yasaman Saadati; Ahmed Imteaj; Seyedsina Nabavirazavi; Urmish Thakker; Md. Zarif Hossain; Awal Ahmed Fime; S. S. Iyengar 001 (CoRR, 2025)

Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing. - Ervin Moore; Ahmed Imteaj; Md. Zarif Hossain; Shabnam Rezapour; M. Hadi Amini (IEEE Trans. Artif. Intell., 2025)