Cover Image

Auditing Data Provenance in Real-world Text-to-Image Diffusion Models for Privacy and Copyright Protection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Jie, Wang, Leye
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Copyright Infringement Detection in Text-to-Image Diffusion Models via Differential Privacy
by: Man, Xiafeng, et al.
Published: (2025)

Unmasking the Veil: An Investigation into Concept Ablation for Privacy and Copyright Protection in Images
by: Garg, Shivank, et al.
Published: (2024)

Do Protective Perturbations Really Protect Portrait Privacy under Real-world Image Transformations?
by: Sun, Ruiqing, et al.
Published: (2026)

Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models
by: Liu, Zhenguang, et al.
Published: (2025)

CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models
by: Xu, Naen, et al.
Published: (2024)

Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
by: Zhu, Peifei, et al.
Published: (2024)

A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models
by: Ma, Rui, et al.
Published: (2024)

SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
by: Wang, Feifei, et al.
Published: (2023)

StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
by: Yang, Haoxin, et al.
Published: (2025)

A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
by: Zhu, Jie, et al.
Published: (2025)

A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
by: Zhu, Jie, et al.
Published: (2024)

MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
by: Zhu, Jie, et al.
Published: (2024)

Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models
by: Akdemir, Kiymet, et al.
Published: (2025)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)

Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis
by: Wang, Songping, et al.
Published: (2025)

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis
by: Yu, Zeqin, et al.
Published: (2025)

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
by: Liu, Shunchang, et al.
Published: (2025)

Rethinking Real-world Image Deraining via An Unpaired Degradation-Conditioned Diffusion Model
by: Shen, Yiyang, et al.
Published: (2023)

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints
by: Wang, Guanyu, et al.
Published: (2025)

Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
by: Gao, Kuofeng, et al.
Published: (2025)

©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model
by: Zhou, Chao, et al.
Published: (2024)

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
by: Lin, Yunlong, et al.
Published: (2024)

Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images!
by: Zou, Zihang, et al.
Published: (2026)

Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
by: Xie, Yuechen, et al.
Published: (2025)

Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
by: Wang, Zhongqi, et al.
Published: (2025)

T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
by: Wang, Zhongqi, et al.
Published: (2024)

Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models
by: Li, Boheng, et al.
Published: (2024)

SELECT: Detecting Label Errors in Real-world Scene Text Data
by: Liu, Wenjun, et al.
Published: (2025)

Lossless Copyright Protection via Intrinsic Model Fingerprinting
by: Chen, Lingxiao, et al.
Published: (2026)

Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
by: Wang, Liqin, et al.
Published: (2025)

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
by: Liu, Jiang, et al.
Published: (2023)

Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback
by: Niu, Xuexiang, et al.
Published: (2024)

Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation
by: Shi, Liang, et al.
Published: (2024)

Disciplined Diffusion: Text-to-Image Diffusion Model against NSFW Generation
by: Zhang, Chi, et al.
Published: (2026)

Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models
by: Moayeri, Mazda, et al.
Published: (2024)

Scaling Down Text Encoders of Text-to-Image Diffusion Models
by: Wang, Lifu, et al.
Published: (2025)

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
by: Song, Qi, et al.
Published: (2024)

Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning
by: Huang, Huaxi, et al.
Published: (2024)

VICTOR: Dataset Copyright Auditing in Video Recognition Systems
by: Yuan, Quan, et al.
Published: (2025)

Text Image Inpainting via Global Structure-Guided Diffusion Models
by: Zhu, Shipeng, et al.
Published: (2024)