Defense against Adversarial Patch Attacks for Aerial Image Semantic Segmentation by Robust Feature Extraction

Defense against Adversarial Patch Attacks for Aerial Image Semantic Segmentation by Robust Feature Extraction

Deep learning (DL) models have recently been widely used in UAV aerial image semantic segmentation tasks and have achieved excellent performance. However, DL models are vulnerable to adversarial examples, which bring significant security risks to safety-critical systems. Existing research mainly foc...

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Bibliographic Details
Main Authors: Zhen Wang, Buhong Wang, Chuanlei Zhang, Yaohui Liu
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
UAV aerial images
semantic segmentation
deep learning (DL)
adversarial patch attack
robustness defense
Online Access:https://www.mdpi.com/2072-4292/15/6/1690

Internet

https://www.mdpi.com/2072-4292/15/6/1690

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