MACE: Mass Concept Erasure in Diffusion Models

10 March 2024

Papers citing "MACE: Mass Concept Erasure in Diffusion Models"

20 / 20 papers shown

Title
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 77 0 0 29 Apr 2025
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning Abha Jha Ashwath Vaithinathan Aravindan Matthew Salaway Atharva Sandeep Bhide Duygu Nur Yaldiz AAML 70 0 0 21 Apr 2025
ForgetMe: Evaluating Selective Forgetting in Generative Models Zhenyu Yu Mohd Yamani Inda Idris Pei Wang DiffM MU 32 0 0 17 Apr 2025
Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition Siyuan Yang Shilin Lu Shizheng Wang Meng Hwa Er Zengwei Zheng Alex C. Kot 40 0 0 21 Mar 2025
DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models Dewei Zhou Mingwei Li Zongxin Yang Yi Yang 87 0 0 17 Mar 2025
Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models Zhihua Tian Sirun Nan Ming Xu Shengfang Zhai Wenjie Qu Jian Liu Kui Ren Ruoxi Jia Jiaheng Zhang DiffM 82 1 0 12 Mar 2025
SafeText: Safe Text-to-image Models via Aligning the Text Encoder Yuepeng Hu Zhengyuan Jiang Neil Zhenqiang Gong 38 1 0 28 Feb 2025
Concept Corrector: Erase concepts on the fly for text-to-image diffusion models Zheling Meng Bo Peng Xiaochuan Jin Yueming Lyu Wei Wang Jing Dong DiffM 38 2 0 22 Feb 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
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models Yong-Hyun Park Sangdoo Yun Jin-Hwa Kim Junho Kim Geonhui Jang Yonghyun Jeong Junghyo Jo Gayoung Lee 73 13 0 17 Jan 2025
Continuous Concepts Removal in Text-to-image Diffusion Models Tingxu Han Weisong Sun Yanrong Hu Chunrong Fang Yonglong Zhang Shiqing Ma Tao Zheng Zhenyu Chen Zhenting Wang DiffM 106 2 0 30 Nov 2024
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances Shilin Lu Zihan Zhou Jiayou Lu Yuanzhi Zhu A. Kong WIGM 78 10 0 24 Oct 2024
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation Jaehong Yoon Shoubin Yu Vaidehi Patil Huaxiu Yao Mohit Bansal 62 14 0 16 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith M. Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia C. Wilson 53 2 0 10 Oct 2024
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning Ayano Hiranaka Shang-Fu Chen Chieh-Hsin Lai Dongjun Kim Naoki Murata Takashi Shibuya Wei-Hsiang Liao Shao-Hua Sun Yuki Mitsufuji 39 1 0 07 Oct 2024
MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis Dewei Zhou Y. Li Fan Ma Zongxin Yang Y. Yang 88 11 0 02 Jul 2024
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models Jie Ren Kangrui Chen Yingqian Cui Shenglai Zeng Hui Liu Yue Xing Jiliang Tang Lingjuan Lyu 34 1 0 21 Jun 2024
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 122 179 0 03 Oct 2022