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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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Publicado en:Journal of Basrah Researches (Sciences) Vol. 51; no. 2; pp. 270 - 284
Autor principal: Ali, Amna Kadhim
Formato: Artículo
Publicado: Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 2025
Materias:
Chest X rays
Adversarial machine learning
Image denoising
Random forest algorithms
Feature extraction
Convolutional neural networks
Ensemble learning
Deep learning
Acceso en línea:Ver este registro en EBSCOhost