Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion

2 August 2023

Papers citing "Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion"

21 / 21 papers shown

Title
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 85 0 0 29 Apr 2025
TarPro: Targeted Protection against Malicious Image Editing Kaixin Shen Ruijie Quan Jiaxu Miao Jun Xiao Yi Yang 62 1 0 18 Mar 2025
A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models Ziqiang Li Jun Li Lizhi Xiong Zhangjie Fu Zechao Li VLM 59 0 0 17 Mar 2025
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models Changhoon Kim Yanjun Qi DiffM 45 1 0 17 Feb 2025
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 53 16 0 06 Aug 2024
FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning Zhi Chen Zecheng Zhao Yadan Luo Zi Huang DiffM 42 4 0 06 Aug 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 42 7 0 22 Jul 2024
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey Chenyu Zhang Mingwang Hu Wenhui Li Lanjun Wang 41 15 0 10 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 86 7 0 07 Jul 2024
A Comprehensive Survey on Diffusion Models and Their Applications M. Ahsan S. Raman Yingtao Liu Zahed Siddique MedIm DiffM 41 1 0 01 Jul 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Yimeng Zhang Xin Chen Jinghan Jia Yihua Zhang Chongyu Fan Jiancheng Liu Mingyi Hong Ke Ding Sijia Liu DiffM 38 52 0 24 May 2024
MACE: Mass Concept Erasure in Diffusion Models Shilin Lu Zilan Wang Leyang Li Yanzhu Liu A. Kong DiffM 39 77 0 10 Mar 2024
Separable Multi-Concept Erasure from Diffusion Models Mengnan Zhao Lihe Zhang Tianhang Zheng Yuqiu Kong Baocai Yin 50 9 0 03 Feb 2024
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li Chengzhi Shen Philip H. S. Torr Volker Tresp Jindong Gu 26 32 0 28 Nov 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 64 0 0 16 Nov 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 22 82 0 18 Oct 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation Zhiheng Liu Ruili Feng Kai Zhu Yifei Zhang Kecheng Zheng Yu Liu Deli Zhao Jingren Zhou Yang Cao DiffM 111 120 0 09 Mar 2023
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 126 183 0 03 Oct 2022
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation Rongjie Huang Chenye Cui Feiyang Chen Yi Ren Jinglin Liu Zhou Zhao Baoxing Huai N. Yuan GAN 105 62 0 14 Oct 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 245 484 0 20 Apr 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018