Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
Published in arxiv preprint, 2023
This paper is about the universal adversarial defense in remote sensing, which utilized a DDPM model to defend the deep learning models against the adversarial perturbations.
Recommended citation: Yu, W., Xu, Y. and Ghamisi, P., 2023. Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models. arXiv preprint arXiv:2307.16865.