Explore the vulnerability of black-box models via diffusion models
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Jiacheng, Zhang, Yanfu, Shao, Huajie, Gao, Ashley |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Soft-CAM: Making black box models self-explainable for medical image analysis
by: Djoumessi, Kerol, et al.
Published: (2025)
by: Djoumessi, Kerol, et al.
Published: (2025)
Enhancing Compositional Generalization via Compositional Feature Alignment
by: Wang, Haoxiang, et al.
Published: (2024)
by: Wang, Haoxiang, et al.
Published: (2024)
Towards SFW sampling for diffusion models via external conditioning
by: Reyes, Camilo Carvajal, et al.
Published: (2025)
by: Reyes, Camilo Carvajal, et al.
Published: (2025)
Towards more transferable adversarial attack in black-box manner
by: Lei, Chun Tong, et al.
Published: (2025)
by: Lei, Chun Tong, et al.
Published: (2025)
Inverse problems with diffusion models: MAP estimation via mode-seeking loss
by: Gutha, Sai Bharath Chandra, et al.
Published: (2025)
by: Gutha, Sai Bharath Chandra, et al.
Published: (2025)
Secure and reversible face anonymization with diffusion models
by: Labarbarie, Pol, et al.
Published: (2025)
by: Labarbarie, Pol, et al.
Published: (2025)
Elucidating the solution space of extended reverse-time SDE for diffusion models
by: Cui, Qinpeng, et al.
Published: (2023)
by: Cui, Qinpeng, et al.
Published: (2023)
Exploring bidirectional bounds for minimax-training of Energy-based models
by: Geng, Cong, et al.
Published: (2025)
by: Geng, Cong, et al.
Published: (2025)
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
by: Wu, Xidong, et al.
Published: (2024)
by: Wu, Xidong, et al.
Published: (2024)
Blue noise for diffusion models
by: Huang, Xingchang, et al.
Published: (2024)
by: Huang, Xingchang, et al.
Published: (2024)
Fast constrained sampling in pre-trained diffusion models
by: Graikos, Alexandros, et al.
Published: (2024)
by: Graikos, Alexandros, et al.
Published: (2024)
Exploring 3D Dataset Pruning
by: Zhao, Xiaohan, et al.
Published: (2026)
by: Zhao, Xiaohan, et al.
Published: (2026)
Amortizing intractable inference in diffusion models for vision, language, and control
by: Venkatraman, Siddarth, et al.
Published: (2024)
by: Venkatraman, Siddarth, et al.
Published: (2024)
Boomerang: Local sampling on image manifolds using diffusion models
by: Luzi, Lorenzo, et al.
Published: (2022)
by: Luzi, Lorenzo, et al.
Published: (2022)
Bayesian computation with generative diffusion models by Multilevel Monte Carlo
by: Haji-Ali, Abdul-Lateef, et al.
Published: (2024)
by: Haji-Ali, Abdul-Lateef, et al.
Published: (2024)
Learning few-step posterior samplers by unfolding and distillation of diffusion models
by: Mbakam, Charlesquin Kemajou, et al.
Published: (2025)
by: Mbakam, Charlesquin Kemajou, et al.
Published: (2025)
Critical windows: non-asymptotic theory for feature emergence in diffusion models
by: Li, Marvin, et al.
Published: (2024)
by: Li, Marvin, et al.
Published: (2024)
Generalization in diffusion models arises from geometry-adaptive harmonic representations
by: Kadkhodaie, Zahra, et al.
Published: (2023)
by: Kadkhodaie, Zahra, et al.
Published: (2023)
Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection
by: Chen, Ruoyu, et al.
Published: (2025)
by: Chen, Ruoyu, et al.
Published: (2025)
Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network
by: Bartosh, Grigory, et al.
Published: (2026)
by: Bartosh, Grigory, et al.
Published: (2026)
Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
by: Li, Jiacheng, et al.
Published: (2025)
by: Li, Jiacheng, et al.
Published: (2025)
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Generating floorplans for various building functionalities via latent diffusion model
by: Ibrahim, Mohamed R., et al.
Published: (2024)
by: Ibrahim, Mohamed R., et al.
Published: (2024)
Scaling Laws for Black box Adversarial Attacks
by: Liu, Chuan, et al.
Published: (2024)
by: Liu, Chuan, et al.
Published: (2024)
Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment
by: Yu, Shaode, et al.
Published: (2024)
by: Yu, Shaode, et al.
Published: (2024)
PrecipDiff: Leveraging image diffusion models to enhance satellite-based precipitation observations
by: Dai, Ting-Yu, et al.
Published: (2025)
by: Dai, Ting-Yu, et al.
Published: (2025)
DFU: scale-robust diffusion model for zero-shot super-resolution image generation
by: Havrilla, Alex, et al.
Published: (2023)
by: Havrilla, Alex, et al.
Published: (2023)
Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution
by: Park, Yonghyun, et al.
Published: (2025)
by: Park, Yonghyun, et al.
Published: (2025)
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
by: Zhang, Jiacheng, et al.
Published: (2024)
by: Zhang, Jiacheng, et al.
Published: (2024)
MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2024)
by: Ma, Qinghe, et al.
Published: (2024)
A Laplace diffusion-based transformer model for heart rate forecasting within daily activity context
by: Mateescu, Andrei, et al.
Published: (2025)
by: Mateescu, Andrei, et al.
Published: (2025)
Theoretical research on generative diffusion models: an overview
by: Yeğin, Melike Nur, et al.
Published: (2024)
by: Yeğin, Melike Nur, et al.
Published: (2024)
General-Purpose Multi-Modal OOD Detection Framework
by: Duong, Viet, et al.
Published: (2023)
by: Duong, Viet, et al.
Published: (2023)
HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images
by: Choi, Sungik, et al.
Published: (2024)
by: Choi, Sungik, et al.
Published: (2024)
CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
by: Tang, Jiacheng, et al.
Published: (2026)
by: Tang, Jiacheng, et al.
Published: (2026)
Guiding a diffusion model using sliding windows
by: Adaloglou, Nikolas, et al.
Published: (2024)
by: Adaloglou, Nikolas, et al.
Published: (2024)
An attempt to generate new bridge types from latent space of denoising diffusion Implicit model
by: Zhang, Hongjun
Published: (2024)
by: Zhang, Hongjun
Published: (2024)
Edge-preserving noise for diffusion models
by: Vandersanden, Jente, et al.
Published: (2024)
by: Vandersanden, Jente, et al.
Published: (2024)
Visual hallucination detection in large vision-language models via evidential conflict
by: Huang, Tao, et al.
Published: (2025)
by: Huang, Tao, et al.
Published: (2025)
Similar Items
-
Soft-CAM: Making black box models self-explainable for medical image analysis
by: Djoumessi, Kerol, et al.
Published: (2025) -
Enhancing Compositional Generalization via Compositional Feature Alignment
by: Wang, Haoxiang, et al.
Published: (2024) -
Towards SFW sampling for diffusion models via external conditioning
by: Reyes, Camilo Carvajal, et al.
Published: (2025) -
Towards more transferable adversarial attack in black-box manner
by: Lei, Chun Tong, et al.
Published: (2025) -
Inverse problems with diffusion models: MAP estimation via mode-seeking loss
by: Gutha, Sai Bharath Chandra, et al.
Published: (2025)