DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhenting, Chen, Chen, Lyu, Lingjuan, Metaxas, Dimitris N., Ma, Shiqing |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)
by: Cui, Yingqian, et al.
Published: (2023)
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
by: Wang, Zhenting, et al.
Published: (2024)
by: Wang, Zhenting, et al.
Published: (2024)
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models
by: Chen, Ruoxi, et al.
Published: (2023)
by: Chen, Ruoxi, et al.
Published: (2023)
VIDSTAMP: A Temporally-Aware Watermark for Ownership and Integrity in Video Diffusion Models
by: Teymoorianfard, Mohammadreza, et al.
Published: (2025)
by: Teymoorianfard, Mohammadreza, et al.
Published: (2025)
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning
by: Liu, Yixin, et al.
Published: (2023)
by: Liu, Yixin, et al.
Published: (2023)
Extracting Training Data from Unconditional Diffusion Models
by: Chen, Yunhao, et al.
Published: (2024)
by: Chen, Yunhao, et al.
Published: (2024)
SIDE: Surrogate Conditional Data Extraction from Diffusion Models
by: Chen, Yunhao, et al.
Published: (2024)
by: Chen, Yunhao, et al.
Published: (2024)
Defending Unauthorized Model Merging via Dual-Stage Weight Protection
by: Chen, Wei-Jia, et al.
Published: (2025)
by: Chen, Wei-Jia, et al.
Published: (2025)
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
by: Amini, Sajjad, et al.
Published: (2024)
by: Amini, Sajjad, et al.
Published: (2024)
MedForge: Building Medical Foundation Models Like Open Source Software Development
by: Tan, Zheling, et al.
Published: (2025)
by: Tan, Zheling, et al.
Published: (2025)
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
by: Wu, Qiangqiang, et al.
Published: (2025)
by: Wu, Qiangqiang, et al.
Published: (2025)
Anti-Tamper Protection for Unauthorized Individual Image Generation
by: Li, Zelin, et al.
Published: (2025)
by: Li, Zelin, et al.
Published: (2025)
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
by: Sui, Yang, et al.
Published: (2024)
by: Sui, Yang, et al.
Published: (2024)
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
by: Mendieta, Matias, et al.
Published: (2024)
by: Mendieta, Matias, et al.
Published: (2024)
Multimodal Pragmatic Jailbreak on Text-to-image Models
by: Liu, Tong, et al.
Published: (2024)
by: Liu, Tong, et al.
Published: (2024)
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
by: Sato, Takami, et al.
Published: (2023)
by: Sato, Takami, et al.
Published: (2023)
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
by: Chou, Sheng-Yen, et al.
Published: (2023)
by: Chou, Sheng-Yen, et al.
Published: (2023)
Invisible Backdoor Attacks on Diffusion Models
by: Li, Sen, et al.
Published: (2024)
by: Li, Sen, et al.
Published: (2024)
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model
by: Meng, Jiayang, et al.
Published: (2024)
by: Meng, Jiayang, et al.
Published: (2024)
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
by: Ahn, Jaesin, et al.
Published: (2025)
by: Ahn, Jaesin, et al.
Published: (2025)
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models
by: Du, Linkang, et al.
Published: (2025)
by: Du, Linkang, et al.
Published: (2025)
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication
by: Li, Chenghao, et al.
Published: (2024)
by: Li, Chenghao, et al.
Published: (2024)
SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts
by: Wu, Xiaodong, et al.
Published: (2025)
by: Wu, Xiaodong, et al.
Published: (2025)
SafeText: Safe Text-to-image Models via Aligning the Text Encoder
by: Hu, Yuepeng, et al.
Published: (2025)
by: Hu, Yuepeng, et al.
Published: (2025)
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
by: Biggs, Benjamin, et al.
Published: (2024)
by: Biggs, Benjamin, et al.
Published: (2024)
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability
by: Chen, Junxi, et al.
Published: (2024)
by: Chen, Junxi, et al.
Published: (2024)
Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
by: Shpilevskiy, Frederick, et al.
Published: (2025)
by: Shpilevskiy, Frederick, et al.
Published: (2025)
Enhancing Adversarial Example Detection Through Model Explanation
by: Ma, Qian, et al.
Published: (2025)
by: Ma, Qian, et al.
Published: (2025)
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
by: Dolatabadi, Hadi M., et al.
Published: (2023)
by: Dolatabadi, Hadi M., et al.
Published: (2023)
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
by: Zhai, Shengfang, et al.
Published: (2024)
by: Zhai, Shengfang, et al.
Published: (2024)
To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model
by: Zhao, Chengshuai, et al.
Published: (2026)
by: Zhao, Chengshuai, et al.
Published: (2026)
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
by: Jiang, Tanqiu, et al.
Published: (2025)
by: Jiang, Tanqiu, et al.
Published: (2025)
Robust Classification via a Single Diffusion Model
by: Chen, Huanran, et al.
Published: (2023)
by: Chen, Huanran, et al.
Published: (2023)
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
by: Guan, Zihan, et al.
Published: (2024)
by: Guan, Zihan, et al.
Published: (2024)
Your Text Encoder Can Be An Object-Level Watermarking Controller
by: Devulapally, Naresh Kumar, et al.
Published: (2025)
by: Devulapally, Naresh Kumar, et al.
Published: (2025)
Copyright Protection in Generative AI: A Technical Perspective
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
by: Zhang, Xin, et al.
Published: (2026)
by: Zhang, Xin, et al.
Published: (2026)
Similar Items
-
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023) -
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
by: Ren, Jie, et al.
Published: (2024) -
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
by: Ren, Jie, et al.
Published: (2024) -
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations
by: Ren, Jie, et al.
Published: (2024) -
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
by: Wang, Zhenting, et al.
Published: (2024)