MACE: mass concept erasure in diffusion models

• Main Authors: Lu, Shilin, Wang, Zilan, Li, Leyang, Liu, Yanzhu, Kong, Adams Wai Kin
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Computer vision; Generative model; Diffusion model; Text-to-Image; Concept removal; Machine unlearning
• Online Access: https://hdl.handle.net/10356/180560; https://openaccess.thecvf.com/CVPR2024?day=all
• Institution: Nanyang Technological University

The rapid expansion of large-scale text-to-image diffusion models has raised growing concerns regarding their potential misuse in creating harmful or misleading content. In this paper, we introduce MACE, a finetuning framework for the task of MAss Concept Erasure. This task aims to prevent models fr...