Multiview Aerial Visual Recognition (MAVREC): Can Multi-View Improve Aerial Visual Perception?

Dutta, Aritra; Das, Srijan; Nielsen, Jacob; Chakraborty, Rajatsubhra; Shah, Mubarak

doi:10.1109/cvpr52733.2024.02140

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

DOI: 10.1109/cvpr52733.2024.02140

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Multiview Aerial Visual Recognition (MAVREC): Can Multi-View Improve Aerial Visual Perception?

Aritra Dutta,

Srijan Das,

Jacob Nielsen

et al.

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2024

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Cited by 1 publication

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Efficient Ensemble Adversarial Attack for a Deep Neural Network (DNN)-Based Unmanned Aerial Vehicle (UAV) Vision System

Zhang,

Liu,

Zhou

et al. 2024

Drones

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In recent years, unmanned aerial vehicles (UAVs) vision systems based on deep neural networks (DNNs) have made remarkable advancements, demonstrating impressive performance. However, due to the inherent characteristics of DNNs, these systems have become increasingly vulnerable to adversarial attacks. Traditional black-box attack methods typically require a large number of queries to generate adversarial samples successfully. In this paper, we propose a novel adversarial attack technique designed to achieve efficient black-box attacks with a minimal number of queries. We define a perturbation generator that first decomposes the image into four frequency bands using wavelet decomposition and then searches for adversarial perturbations across these bands by minimizing a weighted loss function on a set of fixed surrogate models. For the target victim model, the perturbation images generated by the perturbation generator are used to query and update the weights in the loss function, as well as the weights for different frequency bands. Experimental results show that, compared to state-of-the-art methods on various image classifiers trained on ImageNet (such as VGG-19, DenseNet-121, and ResNext-50), our method achieves a success rate over 98% for targeted attacks and nearly a 100% success rate for non-targeted attacks with only 1–2 queries per image.

show abstract

Efficient Ensemble Adversarial Attack for a Deep Neural Network (DNN)-Based Unmanned Aerial Vehicle (UAV) Vision System

Zhang,

Liu,

Zhou

et al. 2024

Drones

View full text Add to dashboard Cite

show abstract

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Multiview Aerial Visual Recognition (MAVREC): Can Multi-View Improve Aerial Visual Perception?

Cited by 1 publication

References 71 publications

Efficient Ensemble Adversarial Attack for a Deep Neural Network (DNN)-Based Unmanned Aerial Vehicle (UAV) Vision System

Efficient Ensemble Adversarial Attack for a Deep Neural Network (DNN)-Based Unmanned Aerial Vehicle (UAV) Vision System

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