Imagen de Portada

Improved Diffusion-based Generative Model with Better Adversarial Robustness

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Zekun, Yi, Mingyang, Xue, Shuchen, Li, Zhenguo, Liu, Ming, Qin, Bing, Ma, Zhi-Ming
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Accelerating Diffusion Sampling with Optimized Time Steps
por: Xue, Shuchen, et al.
Publicado: (2024)

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
por: Xue, Haotian, et al.
Publicado: (2023)

Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think
por: Xue, Haotian, et al.
Publicado: (2024)

Distilling Multi-view Diffusion Models into 3D Generators
por: Qin, Hao, et al.
Publicado: (2025)

ADT: Tuning Diffusion Models with Adversarial Supervision
por: Shen, Dazhong, et al.
Publicado: (2025)

DGGAN: Degradation Guided Generative Adversarial Network for Real-time Endoscopic Video Enhancement
por: Xu, Handing, et al.
Publicado: (2025)

Shedding Light on VLN Robustness: A Black-box Framework for Indoor Lighting-based Adversarial Attack
por: Li, Chenyang, et al.
Publicado: (2025)

Revisiting the Robust Generalization of Adversarial Prompt Tuning
por: Yang, Fan, et al.
Publicado: (2024)

Robust SAM: On the Adversarial Robustness of Vision Foundation Models
por: Long, Jiahuan, et al.
Publicado: (2025)

Learning to Transform Dynamically for Better Adversarial Transferability
por: Zhu, Rongyi, et al.
Publicado: (2024)

MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
por: Xu, Xiaoyun, et al.
Publicado: (2023)

Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement
por: Chang, Zhiyuan, et al.
Publicado: (2024)

TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
por: Ma, Fengji, et al.
Publicado: (2024)

Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
por: Yang, Maochen, et al.
Publicado: (2025)

Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
por: Zhao, Mingyang, et al.
Publicado: (2025)

Adversarial Guided Diffusion Models for Adversarial Purification
por: Lin, Guang, et al.
Publicado: (2024)

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
por: Xue, Shuchen, et al.
Publicado: (2025)

Extendable Generalization Self-Supervised Diffusion for Low-Dose CT Reconstruction
por: Wei, Guoquan, et al.
Publicado: (2025)

Diffusion Models and Representation Learning: A Survey
por: Fuest, Michael, et al.
Publicado: (2024)

Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
por: Pei, Gaozheng, et al.
Publicado: (2025)

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
por: Roy, Susim, et al.
Publicado: (2025)

SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model
por: Liu, Yihao, et al.
Publicado: (2024)

DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models
por: Fu, Jia, et al.
Publicado: (2025)

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
por: Ye, Zilyu, et al.
Publicado: (2024)

DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time
por: Hu, Jin, et al.
Publicado: (2024)

Defense That Attacks: How Robust Models Become Better Attackers
por: Awad, Mohamed, et al.
Publicado: (2025)

Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
por: Zhao, Mingyang, et al.
Publicado: (2024)

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
por: Huang, Huayang, et al.
Publicado: (2024)

PWD: Prior-Guided and Wavelet-Enhanced Diffusion Model for Limited-Angle CT
por: Liu, Yi, et al.
Publicado: (2025)

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
por: Chen, Kai, et al.
Publicado: (2023)

Is Your Video Language Model a Reliable Judge?
por: Liu, Ming, et al.
Publicado: (2025)

Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry
por: Xue, Duoduo, et al.
Publicado: (2026)

Improving Skeleton-based Action Recognition with Interactive Object Information
por: Wen, Hao, et al.
Publicado: (2025)

AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
por: Liu, Chaohu, et al.
Publicado: (2025)

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models
por: Zhang, Jiaming, et al.
Publicado: (2025)

On the Adversarial Robustness of Camera-based 3D Object Detection
por: Xie, Shaoyuan, et al.
Publicado: (2023)

Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generation
por: Huang, Peng, et al.
Publicado: (2024)

Adversarial Attack Against Images Classification based on Generative Adversarial Networks
por: Yang, Yahe
Publicado: (2024)

B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions
por: Zhang, Hao, et al.
Publicado: (2024)

HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models
por: Liu, Han, et al.
Publicado: (2026)