IEEE

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples

Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...
IEEE

Binary Classification of Tuberculosis CXR Images Across Diverse Range of CNN Architectures: A Comparative Study

Abstract: This paper investigates the performance of widely used pre-trained CNN architectures (VGG16, MobileNetV3, DenseNet121, and RegNet040) across diverse datasets, particularly focusing on ...