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Deep neural networks (DNNs) have risen to prominence as key solutions in numerous AI applications for earth observation (AI4EO).
Sar-pega: a generation method of adversarial examples for sar image target recognition network,
W. Xia, Z. Liu, Y. Li, · 1920
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Bag-of-visual-words and spatial extensions for land-use classification,
Y. Yang, S. Newsam, · 2010
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The dgpf-test on digital airborne camera evaluation overview and test design,
M. Cramer, · 2010
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Explaining and harnessing adversarial examples,
I. J. Goodfellow, J. Shlens, C. Szegedy, · 2014
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Semantic segmentation of urban scenes by learning local class interactions,
M. Volpi, V. Ferrari, · 2015
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Adversarial machine learning at scale,
A. Kurakin, I. Goodfellow, S. Bengio, · 2016
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Mitigating adversarial effects through randomization,
C. Xie, J. Wang, Z. Zhang, Z. Ren, A. Yuille, · 2017
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Simple black-box adversarial attacks on deep neural networks.,
N. Narodytska, S. P. Kasiviswanathan, · 2017
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Magnet: a two-pronged defense against adversarial examples,
D. Meng, H. Chen, · 2017
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Aid: A benchmark data set for performance evaluation of aerial scene classification,
G.-S. Xia, J. Hu, F. Hu, B. Shi, X. Bai, Y. Zhong, L. Zhang, X. Lu, · 2017
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Towards evaluating the robustness of neural networks,
N. Carlini, D. Wagner, · 2017
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Image-to-image translation with conditional adversarial networks,
P. Isola, J.-Y. Zhu, T. Zhou, A. A. Efros, · 2017
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Defense-gan: Protecting classifiers against adversarial attacks using generative models,
P. Samangouei, M. Kabkab, R. Chellappa, · 2018
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On the convergence and mode collapse of gan,
Z. Zhang, M. Li, J. Yu, · 2018
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Theoretically principled trade-off between robustness and accuracy,
H. Zhang, Y. Yu, J. Jiao, E. Xing, L. El Ghaoui, M. Jordan, · 2019
Cited alongside, same era.
L. Weng, · 2019
Cited alongside, same era.
Efficient adversarial training with transferable adversarial examples,
H. Zheng, Z. Zhang, J. Gu, H. Lee, A. Prakash, · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models,
J. Ho, A. Jain, P. Abbeel, · 2020
Cited alongside, same era.
Score-based generative modeling through stochastic differential equations,
Y. Song, J. Sohl-Dickstein, D. P. Kingma, A. Kumar, S. Ermon, B. Poole, · 2020
Cited alongside, same era.
Diffusion models beat gans on image synthesis,
P. Dhariwal, A. Nichol, · 2021
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Multilevel deformable attention-aggregated networks for change detection in bitemporal remote sensing imagery,
X. Zhang, W. Yu, M.-O. Pun, · 2022
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Task-guided denoising network for adversarial defense of remote sensing scene classification.,
Y. Xu, W. Yu, P. Ghamisi, · 2022
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Random cnn structure: tool to increase generalization ability in deep learning,
B. Swiderski, S. Osowski, G. Gwardys, J. Kurek, M. Slowinska, I. Lugowska, · 2022
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Universal adversarial examples in remote sensing: Methodology and benchmark,
Y. Xu, P. Ghamisi, · 2022
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L. Chen, Z. Xu, Q. Li, J. Peng, S. Wang, H. Li, · 2021
Cited alongside, same era.
Hyperspectral image classification with adversarial attack,
C. Shi, Y. Dang, L. Fang, Z. Lv, M. Zhao, · 2021
Cited alongside, same era.
Lie to me: A soft threshold defense method for adversarial examples of remote sensing images,
L. Chen, J. Xiao, P. Zou, H. Li, · 2021
Cited alongside, same era.
Perturbation-seeking generative adversarial networks: A defense framework for remote sensing image scene classification,
G. Cheng, X. Sun, K. Li, L. Guo, J. Han, · 2021
Cited alongside, same era.
Generative adversarial networks (gans) challenges, solutions, and future directions,
D. Saxena, J. Cao, · 2021
Cited alongside, same era.
Advances in adversarial attacks and defenses in computer vision: A survey,
N. Akhtar, A. Mian, N. Kardan, M. Shah, · 2021
Cited alongside, same era.
Maximum likelihood training of score-based diffusion models,
Y. Song, C. Durkan, I. Murray, S. Ermon, · 2021
Cited alongside, same era.
J. Wang, Z. Lyu, D. Lin, B. Dai, H. Fu, · 2022
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Diffusion models: A comprehensive survey of methods and applications,
L. Yang, Z. Zhang, Y. Song, S. Hong, R. Xu, Y. Zhao, Y. Shao, W. Zhang, B. Cui, M.-H. Yang, · 2022
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On the robustness of quality measures for gans,
M. Alfarra, J. C. Pérez, A. Frühstück, P. H. Torr, P. Wonka, B. Ghanem, · 2022
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P. von Platen, S. Patil, A. Lozhkov, P. Cuenca, N. Lambert, K. Rasul, M. Davaadorj, T. Wolf, Diffusers: State-of-the-art diffusion models, https://github.com/huggingface/diffusers , 2022
2022
Later among the works it cites.
Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning,
X. Zhang, W. Yu, M.-O. Pun, W. Shi, · 2023
Closest in time.
AI security for geoscience and remote sensing: Challenges and future trends,
Y. Xu, T. Bai, W. Yu, S. Chang, P. M. Atkinson, P. Ghamisi, · 2023
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Diffusion models in vision: A survey,
F.-A. Croitoru, V. Hondru, R. T. Ionescu, M. Shah, · 2023
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Exploring misclassifications of robust neural networks to enhance adversarial attacks,
L. Schwinn, R. Raab, A. Nguyen, D. Zanca, B. Eskofier, · 2023
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