Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis

Deep learning models have achieved groundbreaking results in computer vision; however, their vulnerability to adversarial examples persists. Adversarial examples, generated by adding minute perturbations to images, lead to misclassification and pose serious threats to real-world applications of deep...

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Principais autores:	Jaesung Shim, Kyuri Jo
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Adversarial examples denoising autoencoder Siamese network deep learning
גישה מקוונת:	https://ieeexplore.ieee.org/document/11005974/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!