Md. Zarif Hossain
According to our database1,
Md. Zarif Hossain
authored at least 17 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
IEEE Trans. Artif. Intell., August, 2025
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions.
CoRR, March, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Benchmarking Large-Language Models for Resource-Efficient Medical AI for Edge Deployment.
Proceedings of the 2025 AAAI Spring Symposium Series, 2025
2024
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models.
CoRR, 2024
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency.
Proceedings of the International Conference on Machine Learning and Applications, 2024
FLAMINGO: Adaptive and Resilient Federated Meta-Learning against Adversarial Attacks.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024
Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
WatchOverGPT: A Framework for Real-Time Crime Detection and Response Using Wearable Camera and Large Language Model.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
Enhancing Road Safety Through Cost-Effective, Real-Time Monitoring of Driver Awareness with Resource-Constrained IoT Devices.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer.
CoRR, 2023
Assessing Wearable Human Activity Recognition Systems Against Data Poisoning Attacks in Differentially-Private Federated Learning.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023
FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023
2022