Cover Image

PALADIN : Robust Neural Fingerprinting for Text-to-Image Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	L, Murthy, Tripathi, Subarna
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
by: Zhang, Yi, et al.
Published: (2024)

Text-Aware Image Restoration with Diffusion Models
by: Min, Jaewon, et al.
Published: (2025)

Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
by: Sharma, Nakul, et al.
Published: (2024)

Editing Massive Concepts in Text-to-Image Diffusion Models
by: Xiong, Tianwei, et al.
Published: (2024)

SViTT-Ego: A Sparse Video-Text Transformer for Egocentric Video
by: Valdez, Hector A., et al.
Published: (2024)

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
by: Zhang, Chenshuang, et al.
Published: (2024)

Towards Evaluating Robustness of Prompt Adherence in Text to Image Models
by: Vemishetty, Sujith, et al.
Published: (2025)

Contextualized Diffusion Models for Text-Guided Image and Video Generation
by: Yang, Ling, et al.
Published: (2024)

Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
by: Kim, Taehoon, et al.
Published: (2025)

Aligning Text to Image in Diffusion Models is Easier Than You Think
by: Lee, Jaa-Yeon, et al.
Published: (2025)

From Text to Pose to Image: Improving Diffusion Model Control and Quality
by: Bonnet, Clément, et al.
Published: (2024)

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding
by: Fan, Zezhong, et al.
Published: (2024)

One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
by: Surkov, Viacheslav, et al.
Published: (2024)

DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models
by: Kim, Sungnyun, et al.
Published: (2023)

Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
by: Lee, Jaa-Yeon, et al.
Published: (2026)

DiffFinger: Advancing Synthetic Fingerprint Generation through Denoising Diffusion Probabilistic Models
by: Grabovski, Freddie, et al.
Published: (2024)

On the Scalability of Diffusion-based Text-to-Image Generation
by: Li, Hao, et al.
Published: (2024)

Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)

Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help
by: Guo, Xuyang, et al.
Published: (2025)

Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
by: Shin, Jiwoo, et al.
Published: (2025)

PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
by: Wang, Ziyan, et al.
Published: (2025)

RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
by: Zhang, Xinchen, et al.
Published: (2024)

Aligning Text-to-Image Diffusion Models with Reward Backpropagation
by: Prabhudesai, Mihir, et al.
Published: (2023)

FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion
by: Cazenavette, George, et al.
Published: (2024)

Improving GFlowNets for Text-to-Image Diffusion Alignment
by: Zhang, Dinghuai, et al.
Published: (2024)

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
by: Smith, James Seale, et al.
Published: (2023)

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
by: Biggs, Benjamin, et al.
Published: (2024)

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
by: Cho, Wonguk, et al.
Published: (2024)

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
by: Kao, Kuei-Chun, et al.
Published: (2026)

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
by: Wang, Junyan, et al.
Published: (2024)

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
by: Yang, Ling, et al.
Published: (2024)

Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
by: Nam, Hyelin, et al.
Published: (2023)

Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
by: Zafar, Oz, et al.
Published: (2024)

TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images
by: Li, Mengcheng, et al.
Published: (2024)

Image Captions are Natural Prompts for Text-to-Image Models
by: Lei, Shiye, et al.
Published: (2023)

CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models
by: Xue, Yuyang, et al.
Published: (2025)

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
by: Yuan, Huizhuo, et al.
Published: (2024)

Controlling Text-to-Image Diffusion by Orthogonal Finetuning
by: Qiu, Zeju, et al.
Published: (2023)

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
by: Wu, Ziyi, et al.
Published: (2024)

Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
by: Dontas, Michail, et al.
Published: (2024)