Cover Image

Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Zhuan, Farashah, Alireza Dehghanpour, de Vries, Rik, Farnadi, Golnoosh
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration
by: Li, Jun, et al.
Published: (2026)

Rethinking Robust Adversarial Concept Erasure in Diffusion Models
by: Yin, Qinghong, et al.
Published: (2025)

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
by: Xu, Naen, et al.
Published: (2025)

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
by: Zhang, Yimeng, et al.
Published: (2024)

Espresso: Robust Concept Filtering in Text-to-Image Models
by: Das, Anudeep, et al.
Published: (2024)

CGCE: Classifier-Guided Concept Erasure in Generative Models
by: Nguyen, Viet, et al.
Published: (2025)

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
by: Ren, Jie, et al.
Published: (2024)

TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models
by: Zhang, Chaoshuo, et al.
Published: (2026)

Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models
by: Tian, Zhihua, et al.
Published: (2025)

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
by: Zhai, Shengfang, et al.
Published: (2024)

REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models
by: Guo, Chongye, et al.
Published: (2025)

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)

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)

BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models
by: Wu, Jia, et al.
Published: (2025)

Bi-Erasing: A Bidirectional Framework for Concept Removal in Diffusion Models
by: Chen, Hao, et al.
Published: (2025)

Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling
by: Li, Zida, et al.
Published: (2026)

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)

Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
by: Ren, Jie, et al.
Published: (2024)

HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models
by: Gao, Sensen, et al.
Published: (2024)

Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models
by: Liu, Jiangtao, et al.
Published: (2025)

Patronus: Safeguarding Text-to-Image Models against White-Box Adversaries
by: Li, Xinfeng, et al.
Published: (2025)

What Concepts Lie Within? Detecting and Suppressing Risky Content in Diffusion Transformers
by: Zhang, Chenyu
Published: (2026)

SteerDiff: Steering towards Safe Text-to-Image Diffusion Models
by: Zhang, Hongxiang, et al.
Published: (2024)

Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey
by: Zhang, Chenyu, et al.
Published: (2024)

SurrogatePrompt: Bypassing the Safety Filter of Text-to-Image Models via Substitution
by: Ba, Zhongjie, et al.
Published: (2023)

Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
by: Yang, Zijin, et al.
Published: (2024)

Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
by: Zhang, Lei, et al.
Published: (2025)

Stable Signature is Unstable: Removing Image Watermark from Diffusion Models
by: Hu, Yuepeng, et al.
Published: (2024)

Controllable Adversarial Makeup for Privacy via Text-Guided Diffusion
by: Kwon, Youngjin, et al.
Published: (2025)

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
by: Xu, Kun, et al.
Published: (2025)

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models
by: Chen, Ruoxi, et al.
Published: (2023)

Training-Free Color-Aware Adversarial Diffusion Sanitization for Diffusion Stegomalware Defense at Security Gateways
by: Frants, Vladimir, et al.
Published: (2025)

SafeText: Safe Text-to-image Models via Aligning the Text Encoder
by: Hu, Yuepeng, et al.
Published: (2025)

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

PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models
by: Zhang, Zhuomeng, et al.
Published: (2024)

LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models
by: Khalili, Hossein, et al.
Published: (2024)

PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
by: Li, Kecen, et al.
Published: (2023)

Do Concept Replacement Techniques Really Erase Unacceptable Concepts?
by: Das, Anudeep, et al.
Published: (2025)

One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks
by: Guo, Ji, et al.
Published: (2024)