ACE: Attentional Concept Erasure in Diffusion Models
Fuente:
arXiv
Saved in:
| Main Author: | Carter, Finn |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models
by: Carter, Finn
Published: (2025)
by: Carter, Finn
Published: (2025)
Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustness
by: Fu, Zixuan, et al.
Published: (2025)
by: Fu, Zixuan, et al.
Published: (2025)
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
by: Wang, Zihao, et al.
Published: (2025)
by: Wang, Zihao, et al.
Published: (2025)
FADE: Adversarial Concept Erasure in Flow Models
by: Fu, Zixuan, et al.
Published: (2025)
by: Fu, Zixuan, et al.
Published: (2025)
M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models
by: Weng, Ju-Hsuan, et al.
Published: (2025)
by: Weng, Ju-Hsuan, et al.
Published: (2025)
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
by: Li, Ouxiang, et al.
Published: (2025)
by: Li, Ouxiang, et al.
Published: (2025)
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
by: Gong, Chao, et al.
Published: (2024)
by: Gong, Chao, et al.
Published: (2024)
ACE: Concept Editing in Diffusion Models without Performance Degradation
by: Wang, Ruipeng, et al.
Published: (2025)
by: Wang, Ruipeng, et al.
Published: (2025)
Mass Concept Erasure in Diffusion Models with Concept Hierarchy
by: Tu, Jiahang, et al.
Published: (2026)
by: Tu, Jiahang, et al.
Published: (2026)
GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models
by: Han, Ning, et al.
Published: (2025)
by: Han, Ning, et al.
Published: (2025)
Where Concept Erasure Should Occur: Concept-Layer Alignment in Text-to-Video Diffusion Models
by: Xie, Yiwei, et al.
Published: (2026)
by: Xie, Yiwei, et al.
Published: (2026)
Rethinking Robust Adversarial Concept Erasure in Diffusion Models
by: Yin, Qinghong, et al.
Published: (2025)
by: Yin, Qinghong, et al.
Published: (2025)
Dynamic Eraser for Guided Concept Erasure in Diffusion Models
by: Gong, Qinghui
Published: (2026)
by: Gong, Qinghui
Published: (2026)
Separable Multi-Concept Erasure from Diffusion Models
by: Zhao, Mengnan, et al.
Published: (2024)
by: Zhao, Mengnan, et al.
Published: (2024)
Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models
by: Chen, Die, et al.
Published: (2025)
by: Chen, Die, et al.
Published: (2025)
MACE: Mass Concept Erasure in Diffusion Models
by: Lu, Shilin, et al.
Published: (2024)
by: Lu, Shilin, et al.
Published: (2024)
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
by: Xiong, Lexiang, et al.
Published: (2025)
by: Xiong, Lexiang, et al.
Published: (2025)
Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models
by: Zhang, Zhiqi, et al.
Published: (2026)
by: Zhang, Zhiqi, et al.
Published: (2026)
A Single Neuron Works: Precise Concept Erasure in Text-to-Image Diffusion Models
by: He, Qinqin, et al.
Published: (2025)
by: He, Qinqin, et al.
Published: (2025)
Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion Transformers
by: Jiang, Nanxiang, et al.
Published: (2026)
by: Jiang, Nanxiang, et al.
Published: (2026)
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models
by: Kim, Changhoon, et al.
Published: (2025)
by: Kim, Changhoon, et al.
Published: (2025)
Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models
by: Shi, Zhuan, et al.
Published: (2026)
by: Shi, Zhuan, et al.
Published: (2026)
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
by: Zhang, Yimeng, et al.
Published: (2024)
by: Zhang, Yimeng, et al.
Published: (2024)
Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models
by: Seo, Hoigi, et al.
Published: (2026)
by: Seo, Hoigi, et al.
Published: (2026)
Minimalist Concept Erasure in Generative Models
by: Zhang, Yang, et al.
Published: (2025)
by: Zhang, Yang, 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)
by: Kim, Changhoon, et al.
Published: (2024)
TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
by: Chen, Ruidong, et al.
Published: (2025)
by: Chen, Ruidong, et al.
Published: (2025)
Prototype-Guided Concept Erasure in Diffusion Models
by: Cai, Yuze, et al.
Published: (2026)
by: Cai, Yuze, et al.
Published: (2026)
Robust Concept Erasure Using Task Vectors
by: Pham, Minh, et al.
Published: (2024)
by: Pham, Minh, et al.
Published: (2024)
VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
by: Xu, Naen, et al.
Published: (2025)
by: Xu, Naen, et al.
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)
by: Nguyen, Kien, et al.
Published: (2025)
Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models
by: Zhong, Xinhao, et al.
Published: (2025)
by: Zhong, Xinhao, et al.
Published: (2025)
ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
by: Ghoddoosian, Reza, et al.
Published: (2024)
by: Ghoddoosian, Reza, et al.
Published: (2024)
Erased or Dormant? Rethinking Concept Erasure Through Reversibility
by: Liu, Ping, et al.
Published: (2025)
by: Liu, Ping, et al.
Published: (2025)
RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining
by: Liu, Yufan, et al.
Published: (2024)
by: Liu, Yufan, et al.
Published: (2024)
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
by: Bui, Anh, et al.
Published: (2025)
by: Bui, Anh, et al.
Published: (2025)
Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
by: Lee, Uichan, et al.
Published: (2026)
by: Lee, Uichan, et al.
Published: (2026)
CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models
by: Xue, Yuyang, et al.
Published: (2025)
by: Xue, Yuyang, et al.
Published: (2025)
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
by: Gao, Daiheng, et al.
Published: (2024)
by: Gao, Daiheng, et al.
Published: (2024)
Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
by: Sun, Jingwei, et al.
Published: (2024)
by: Sun, Jingwei, et al.
Published: (2024)
Similar Items
-
TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models
by: Carter, Finn
Published: (2025) -
Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustness
by: Fu, Zixuan, et al.
Published: (2025) -
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
by: Wang, Zihao, et al.
Published: (2025) -
FADE: Adversarial Concept Erasure in Flow Models
by: Fu, Zixuan, et al.
Published: (2025) -
M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models
by: Weng, Ju-Hsuan, et al.
Published: (2025)