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cs.CV2025
DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification
Chihan Huang, Belal Alsinglawi, Islam Al-qudah
Recent advances in deep neural networks (DNNs) have led to remarkable success across a wide range of tasks. However, their susceptibility to adversarial perturbations remains a cri…
cs.CV2025
A Lightweight Large Vision-language Model for Multimodal Medical Images
Belal Alsinglawi, Chris McCarthy, Sara Webb +2
Medical Visual Question Answering (VQA) enhances clinical decision-making by enabling systems to interpret medical images and answer clinical queries. However, developing efficient…