Enhancing CT Segmentation Security against Adversarial Attack: Most Activated Filter Approach

Enhancing CT Segmentation Security against Adversarial Attack: Most Activated Filter Approach

This study introduces a deep-learning-based framework for detecting adversarial attacks in CT image segmentation within medical imaging. The proposed methodology includes analyzing features from various layers, particularly focusing on the first layer, and utilizing a convolutional layer-based model...

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Bibliographic Details
Main Authors: Woonghee Lee, Younghoon Kim
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
adversarial detection
adversarial attack
deep learning security
CT segmentation
Online Access:https://www.mdpi.com/2076-3417/14/5/2130

Internet

https://www.mdpi.com/2076-3417/14/5/2130

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