IEEE

Zero-Day Attack Detection in IoT Networks Using a Residual Vision Transformer-Based Approach With Zero-Shot Learning

Abstract: The widespread adoption of Internet of Things (IoT) devices across domains ranging from domestic to industrial applications has increasingly made them attractive targets for sophisticated ...
IEEE

Robust X-ray Image Classification using Vision Transformers: A Comparative Study with Convolutional Neural Networks

Abstract: Accurate classification of X-ray images is crucial for detecting COVID-19 and pneumonia cases. This study compares the performance of Vision Transformers (ViTs) and Convolutional Neural ...