Cover Image

Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Die, Li, Zhiwen, Chen, Cen, Xie, Yuexiang, Li, Xiaodan, Ye, Jinyan, Chen, Yingda, Li, Yaliang
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

Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Models
by: Chen, Die, et al.
Published: (2025)

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation
by: Li, Zhiwen, et al.
Published: (2025)

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models
by: Chen, Die, et al.
Published: (2025)

VIRAL: Visual In-Context Reasoning via Analogy in Diffusion Transformers
by: Li, Zhiwen, et al.
Published: (2026)

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models
by: Chen, Die, et al.
Published: (2024)

Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
by: Ye, Jinyan, et al.
Published: (2026)

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction
by: Duan, Zhongjie, et al.
Published: (2024)

Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
by: Gong, Chao, et al.
Published: (2024)

GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models
by: Han, Ning, et al.
Published: (2025)

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

M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models
by: Weng, Ju-Hsuan, et al.
Published: (2025)

A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models
by: Kim, Changhoon, et al.
Published: (2025)

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

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model
by: Chen, Hongxu, et al.
Published: (2025)

TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
by: Chen, Ruidong, et al.
Published: (2025)

ACE: Anti-Editing Concept Erasure in Text-to-Image Models
by: Wang, Zihao, et al.
Published: (2025)

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

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
by: Duan, Zhongjie, et al.
Published: (2024)

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
by: Fan, Mingyuan, et al.
Published: (2023)

Where Concept Erasure Should Occur: Concept-Layer Alignment in Text-to-Video Diffusion Models
by: Xie, Yiwei, et al.
Published: (2026)

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

Seeing It Before It Happens: In-Generation NSFW Detection for Diffusion-Based Text-to-Image Models
by: Yang, Fan, et al.
Published: (2025)

Mass Concept Erasure in Diffusion Models with Concept Hierarchy
by: Tu, Jiahang, et al.
Published: (2026)

NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation
by: Xie, Yu, et al.
Published: (2025)

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

VModA: An Effective Framework for Adaptive NSFW Image Moderation
by: Bao, Han, et al.
Published: (2025)

Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models
by: Shi, Zhuan, et al.
Published: (2026)

A Single Neuron Works: Precise Concept Erasure in Text-to-Image Diffusion Models
by: He, Qinqin, et al.
Published: (2025)

Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models
by: Seo, Hoigi, et al.
Published: (2026)

SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
by: Li, Ouxiang, et al.
Published: (2025)

Erasure or Erosion? Evaluating Compositional Degradation in Unlearned Text-To-Image Diffusion Models
by: Koma, Arian Komaei, et al.
Published: (2026)

A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models
by: Li, Ziqiang, et al.
Published: (2025)

R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model
by: Kim, Changhoon, et al.
Published: (2024)

ACE: Attentional Concept Erasure in Diffusion Models
by: Carter, Finn
Published: (2025)

SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
by: Nguyen, Kien, et al.
Published: (2025)

MACE: Mass Concept Erasure in Diffusion Models
by: Lu, Shilin, et al.
Published: (2024)

Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
by: Lee, Uichan, et al.
Published: (2026)

Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
by: Xiong, Lexiang, et al.
Published: (2025)

TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models
by: Carter, Finn
Published: (2025)

Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models
by: Zhang, Zhiqi, et al.
Published: (2026)