Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
Fuente:
arXiv
Saved in:
| Main Authors: | Schweiger, Niklas, Cremers, Daniel, Ram, Karnik |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequential Monte Carlo
by: Wang, Weixin, et al.
Published: (2026)
by: Wang, Weixin, et al.
Published: (2026)
Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
by: Karnik, Sathwik, et al.
Published: (2026)
by: Karnik, Sathwik, et al.
Published: (2026)
Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024)
by: Li, Jingwei, et al.
Published: (2024)
Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models
by: Huang, Zi-Xuan, et al.
Published: (2024)
by: Huang, Zi-Xuan, et al.
Published: (2024)
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
by: Wu, Fang, et al.
Published: (2026)
by: Wu, Fang, et al.
Published: (2026)
Gradient-Free Noise Optimization for Reward Alignment in Generative Models
by: Kim, Jeongsol, et al.
Published: (2026)
by: Kim, Jeongsol, et al.
Published: (2026)
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
by: Kotyan, Shashank, et al.
Published: (2024)
by: Kotyan, Shashank, et al.
Published: (2024)
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
by: Wang, Zhengbo, et al.
Published: (2024)
by: Wang, Zhengbo, et al.
Published: (2024)
Stitched Value Model for Diffusion Alignment
by: Go, Hyojun, et al.
Published: (2026)
by: Go, Hyojun, et al.
Published: (2026)
CollaFuse: Collaborative Diffusion Models
by: Allmendinger, Simeon, et al.
Published: (2024)
by: Allmendinger, Simeon, et al.
Published: (2024)
Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
by: Lee, Jaa-Yeon, et al.
Published: (2026)
by: Lee, Jaa-Yeon, et al.
Published: (2026)
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
by: Ma, Jing, et al.
Published: (2022)
by: Ma, Jing, et al.
Published: (2022)
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces
by: Kumar, Somnath Sendhil, et al.
Published: (2024)
by: Kumar, Somnath Sendhil, et al.
Published: (2024)
What You See is What You Classify: Black Box Attributions
by: Stalder, Steven, et al.
Published: (2022)
by: Stalder, Steven, et al.
Published: (2022)
ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
by: Wang, Feiyang, et al.
Published: (2024)
by: Wang, Feiyang, et al.
Published: (2024)
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
by: Zhang, Zhenkai, et al.
Published: (2023)
by: Zhang, Zhenkai, et al.
Published: (2023)
A Noise is Worth Diffusion Guidance
by: Ahn, Donghoon, et al.
Published: (2024)
by: Ahn, Donghoon, et al.
Published: (2024)
To Trust Or Not To Trust Your Vision-Language Model's Prediction
by: Dong, Hao, et al.
Published: (2025)
by: Dong, Hao, et al.
Published: (2025)
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)
by: Hu, Zixuan, et al.
Published: (2023)
Noise Optimized Conditional Diffusion for Domain Adaptation
by: Luo, Lingkun, et al.
Published: (2025)
by: Luo, Lingkun, et al.
Published: (2025)
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
by: Park, Geon Yeong, et al.
Published: (2024)
by: Park, Geon Yeong, et al.
Published: (2024)
No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models
by: Yun, Junno, et al.
Published: (2025)
by: Yun, Junno, et al.
Published: (2025)
LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
by: Yu, Shu, et al.
Published: (2025)
by: Yu, Shu, et al.
Published: (2025)
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions
by: Chiaroni, Florent, et al.
Published: (2022)
by: Chiaroni, Florent, et al.
Published: (2022)
Infinite-Resolution Integral Noise Warping for Diffusion Models
by: Deng, Yitong, et al.
Published: (2024)
by: Deng, Yitong, et al.
Published: (2024)
Seeking Physics in Diffusion Noise
by: Tang, Chujun, et al.
Published: (2026)
by: Tang, Chujun, et al.
Published: (2026)
TAUE: Training-free Noise Transplant and Cultivation Diffusion Model
by: Nagai, Daichi, et al.
Published: (2025)
by: Nagai, Daichi, et al.
Published: (2025)
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
by: Zhang, Bingliang, et al.
Published: (2024)
by: Zhang, Bingliang, et al.
Published: (2024)
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
by: Ahn, Donghoon, et al.
Published: (2025)
by: Ahn, Donghoon, et al.
Published: (2025)
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
by: Shaul, Neta, et al.
Published: (2024)
by: Shaul, Neta, et al.
Published: (2024)
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
by: Kim, Dongjun, et al.
Published: (2023)
by: Kim, Dongjun, et al.
Published: (2023)
Improving GFlowNets for Text-to-Image Diffusion Alignment
by: Zhang, Dinghuai, et al.
Published: (2024)
by: Zhang, Dinghuai, et al.
Published: (2024)
PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
by: Lee, Suhyeon, et al.
Published: (2025)
by: Lee, Suhyeon, et al.
Published: (2025)
Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
by: Kim, Taehoon, et al.
Published: (2025)
by: Kim, Taehoon, et al.
Published: (2025)
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
by: Fan, Xiang, et al.
Published: (2024)
by: Fan, Xiang, et al.
Published: (2024)
Step-level Denoising-time Diffusion Alignment with Multiple Objectives
by: Zhang, Qi, et al.
Published: (2026)
by: Zhang, Qi, et al.
Published: (2026)
VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
by: Liu, Runtao, et al.
Published: (2024)
by: Liu, Runtao, et al.
Published: (2024)
Connective Viewpoints of Signal-to-Noise Diffusion Models
by: Doan, Khanh, et al.
Published: (2024)
by: Doan, Khanh, et al.
Published: (2024)
Hierarchical Variational Policies for Reward-Guided Diffusion
by: Pandey, Kushagra, et al.
Published: (2026)
by: Pandey, Kushagra, et al.
Published: (2026)
Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise
by: Scimeca, Luca, et al.
Published: (2025)
by: Scimeca, Luca, et al.
Published: (2025)
Similar Items
-
Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequential Monte Carlo
by: Wang, Weixin, et al.
Published: (2026) -
Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
by: Karnik, Sathwik, et al.
Published: (2026) -
Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024) -
Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models
by: Huang, Zi-Xuan, et al.
Published: (2024) -
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
by: Wu, Fang, et al.
Published: (2026)