Robust and Interpretable Chest X-ray Classification via Diffusion Purification and Concept-Based Adversarial Detection.

Adversarial attack is an approach that primarily compromise the integrity of deep learning system in medical imaging by adding subtle changes to the model inputs that humans don't notice, it leads the model to make an incorrect decision, so the attacker can corrupt both the input data and the predic...

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Bibliographic Details

Published in:	Journal of Basrah Researches (Sciences) Vol. 51; no. 2; pp. 270 - 284
Main Author:	Ali, Amna Kadhim
Format:	Article
Published:	Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 2025
Subjects:	Chest X rays Adversarial machine learning Image denoising Random forest algorithms Feature extraction Convolutional neural networks Ensemble learning Deep learning
Online Access:	View this record in EBSCOhost