2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
Ervin Moore, Ahmed Imteaj, Md Zarif Hossain +2
Federated Learning (FL) is a privacy-preserving distributed machine learning scheme, where each participant data remains on the participating devices and only the local model gener…
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
Ahmed Imteaj, Md Zarif Hossain, Saika Zaman +1
The rapid advancement and increasing complexity of pretrained models, exemplified by CLIP, offer significant opportunities as well as challenges for Federated Learning (FL), a crit…
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Md Zarif Hossain, Ahmed Imteaj
Large Vision-Language Models (LVLMs), trained on multimodal big datasets, have significantly advanced AI by excelling in vision-language tasks. However, these models remain vulnera…
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models
Md Zarif Hossain, Ahmed Imteaj
Vision-Language Models (VLMs) rely heavily on pretrained vision encoders to support downstream tasks such as image captioning, visual question answering, and zero-shot classificati…