publications

2025

1. 

   SLADE: Shielding against Dual Exploits in Large Vision-Language Models

   MZ. Hossain and Ahmed Imteaj

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

   Ranked #1 CS Conference, 22.1% Acceptance Rate

   Abs

   Novel defense mechanism for Vision-Language Models against dual exploits.

2. 

   Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing

   E. Moore, A. Imteaj, MZ. Hossain, and 2 more authors

   IEEE Transactions on Artificial Intelligence, 2025

   Q1 Journal

   Abs

   Comprehensive approach to securing federated learning systems using blockchain technology.

3. 

   Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks

   Awal Ahmed Fime, MZ. Hossain, Saika Zaman, and 2 more authors

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2025

   Abs

   Examining the robustness of Vision-Language Models in autonomous vehicle applications.

4. 

   Benchmarking Large Language Models for Resource-Efficient Medical AI at the Edge

   Awal Ahmed Fime, MZ. Hossain, Saika Zaman, and 2 more authors

   In AAAI 2025 Spring Symposium, 2025

   Abs

   Benchmarking study for efficient medical AI deployment using LLMs.

2024

1. 

   Securing vision-language models with a robust encoder against jailbreak and adversarial attacks

   MZ. Hossain and A. Imteaj

   In 2024 IEEE International Conference on Big Data (BigData), 2024

   Abs

   Defense mechanism for Vision-Language Models focusing on robust encoding techniques.

2. 

   Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models

   MZ. Hossain and Ahmed Imteaj

   arXiv preprint arXiv:2407.14971, 2024

   Under Review in IEEE Transactions on Big Data

   Abs

   Unsupervised approach to enhance Vision-Language Models through Siamese adversarial fine-tuning.

3. 

   TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency

   A. Imteaj, MZ. Hossain, S. Zaman, and 1 more author

   In 23rd International Conference on Machine Learning and Applications (ICMLA), 2024

   Abs

   CLIP-enhanced federated learning for non-IID data scenarios.

4. 

   Flamingo: Adaptive and resilient federated meta-learning against adversarial attacks

   MZ. Hossain, Ahmed Imteaj, and Abdur R. Shahid

   In 2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW), 2024

   Abs

   Adaptive federated meta-learning framework with adversarial robustness.

5. 

   Generative AI-based Land Cover Classification via Federated Learning CNNs: Sustainable Insights from UAV Imagery

   MZ. Hossain, O. Jockusch, A. Imteaj, and 1 more author

   In 2024 IEEE Conference on Technologies for Sustainability (SusTech), 2024

   Abs

   Sustainable land cover classification using federated learning and UAV imagery.

6. 

   Fedavo: Improving communication efficiency in federated learning with african vultures optimizer

   MZ. Hossain, A. Imteaj, and Abdur R. Shahid

   In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024

   Abs

   Bio-inspired optimization for communication-efficient federated learning.

7. 

   Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation

   S Zaman, S Talukder, MZ. Hossain, and 2 more authors

   In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024

   Abs

   Particle swarm optimization for efficient federated learning with knowledge distillation.

8. 

   Enhancing Road Safety Through Cost-Effective, Real-Time Monitoring of Driver Awareness with Resource-Constrained IoT Devices

   A Imteaj, T Rahman, S Zaman, and 2 more authors

   In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024

   Abs

   IoT-based real-time driver awareness monitoring for enhanced road safety.

9. 

   WatchOverGPT: A Framework for Real-Time Crime Detection and Response Using Wearable Camera and Large Language Model

   AR Shahid, SM Hasan, MW Kankanamge, and 2 more authors

   In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024

   Abs

   Real-time crime detection framework using wearable cameras and large language models.

2023

1. 

   FLID: Intrusion Attack and Defense Mechanism for Federated Learning-Empowered Connected Autonomous Vehicles

   MZ. Hossain, A Imteaj, AR Shahid, and 3 more authors

   In 2023 6th IEEE Conference on Dependable and Secure Computing (IEEE DSC 2023), 2023

   Abs

   Intrusion detection and defense for federated learning in connected autonomous vehicles.

2. 

   Assessing Wearable Human Activity Recognition Systems Against Data Poisoning Attacks in Differentially-Private Federated Learning

   AR Shahid, A Imteaj, S Badsha, and 1 more author

   In 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 2023

   Abs

   Security assessment of wearable systems in federated learning environments.