R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image
Diffusion Model

R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model

25 May 2024

Yezhou Yang

Papers citing "R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model"

8 / 8 papers shown

Title
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 62 2 0 28 Jan 2025
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models Zhi-Yi Chin Kuan-Chen Mu Mario Fritz Pin-Yu Chen DiffM 83 0 0 25 Nov 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 14 0 06 Aug 2024
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models Senmao Li J. Weijer Taihang Hu Fahad Shahbaz Khan Qibin Hou Yaxing Wang Jian Yang DiffM 34 27 0 08 Feb 2024
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 119 179 0 03 Oct 2022
Meta Gradient Adversarial Attack Zheng Yuan Jie M. Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 43 76 0 09 Aug 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015