Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models

17 July 2024

Papers citing "Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models"

8 / 8 papers shown

Title
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning Siyi Chen Yimeng Zhang Sijia Liu Q. Qu AAML 61 0 0 30 Apr 2025
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 75 0 0 29 Apr 2025
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models Changhoon Kim Yanjun Qi DiffM 33 1 0 17 Feb 2025
CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary Jiahang Tu Qian Feng Chufan Chen Jiahua Dong Hanbin Zhao Chao Zhang Hui Qian 69 2 0 28 Jan 2025
Fantastic Copyrighted Beasts and How (Not) to Generate Them Luxi He Yangsibo Huang Weijia Shi Tinghao Xie Haotian Liu Yue Wang Luke Zettlemoyer Chiyuan Zhang Danqi Chen Peter Henderson 39 9 0 20 Jun 2024
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 122 179 0 03 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 215 1,277 0 02 Sep 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015