Image de couverture de livre

Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Weikang, Xu, Yonghao, Ghamisi, Pedram
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition Image and Video Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing
par: Bai, Tao, et autres
Publié: (2025)

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model
par: Fu, Hang, et autres
Publié: (2024)

Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
par: Sui, Jialu, et autres
Publié: (2024)

A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction
par: Yu, Zhenyu, et autres
Publié: (2025)

SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening
par: Zhong, Yu, et autres
Publié: (2024)

Extreme Video Compression with Pre-trained Diffusion Models
par: Li, Bohan, et autres
Publié: (2024)

Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data
par: Xu, Xichen, et autres
Publié: (2025)

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction
par: Wang, Zeyu, et autres
Publié: (2024)

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
par: Li, Junhui, et autres
Publié: (2024)

Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration
par: Xu, Shuang, et autres
Publié: (2024)

Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
par: Fu, Zixuan, et autres
Publié: (2024)

Generative Preprocessing for Image Compression with Pre-trained Diffusion Models
par: Guo, Mengxi, et autres
Publié: (2025)

Adversarial Distortion Learning for Medical Image Denoising
par: Ghahremani, Morteza, et autres
Publié: (2022)

Denoising Diffusion Models for Anomaly Localization in Medical Images
par: Bercea, Cosmin I., et autres
Publié: (2024)

Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
par: Durrer, Alicia, et autres
Publié: (2024)

Versatile Defense Against Adversarial Attacks on Image Recognition
par: Zhang, Haibo, et autres
Publié: (2024)

Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data
par: Zhou, Yihang, et autres
Publié: (2025)

Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification
par: Mamalakis, Michail, et autres
Publié: (2024)

Fast Inference in Denoising Diffusion Models via MMD Finetuning
par: Aiello, Emanuele, et autres
Publié: (2023)

Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
par: Garber, Tomer, et autres
Publié: (2023)

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
par: Liu, Yujia, et autres
Publié: (2024)

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
par: Arbash, Elias, et autres
Publié: (2024)

Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
par: Wu, Hanlin, et autres
Publié: (2024)

A Contrastive Learning Foundation Model Based on Perfectly Aligned Sample Pairs for Remote Sensing Images
par: Shen, Hengtong, et autres
Publié: (2025)

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising
par: Niu, Xiaolong, et autres
Publié: (2025)

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
par: Durrer, Alicia, et autres
Publié: (2024)

Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
par: Olsen, Markus Ditlev Sjøgren, et autres
Publié: (2024)

PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic Segmentation
par: Hu, Yin, et autres
Publié: (2024)

Adaptive Rectangular Convolution for Remote Sensing Pansharpening
par: Wang, Xueyang, et autres
Publié: (2025)

Gradient-Free Adversarial Purification with Diffusion Models
par: Dai, Xuelong, et autres
Publié: (2025)

CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation
par: Liu, Tingwei, et autres
Publié: (2024)

Prototype-Based Information Compensation Network for Multi-Source Remote Sensing Data Classification
par: Gao, Feng, et autres
Publié: (2025)

PGCS: Physical Law embedded Generative Cloud Synthesis in Remote Sensing Images
par: Xu, Liying, et autres
Publié: (2024)

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
par: Zhang, Qilai, et autres
Publié: (2024)

Towards Robust Time-of-Flight Depth Denoising with Confidence-Aware Diffusion Model
par: He, Changyong, et autres
Publié: (2025)

DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models
par: Kaya, Mehmet Onurcan, et autres
Publié: (2025)

Single-Step Latent Consistency Model for Remote Sensing Image Super-Resolution
par: Sun, Xiaohui, et autres
Publié: (2025)

FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model
par: Peng, Siran, et autres
Publié: (2024)

Pathology Image Compression with Pre-trained Autoencoders
par: Yellapragada, Srikar, et autres
Publié: (2025)

Manifold Constraint Regularization for Remote Sensing Image Generation
par: Su, Xingzhe, et autres
Publié: (2023)