MACE: mass concept erasure in diffusion models

MACE: mass concept erasure in diffusion models

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...

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Bibliographic Details
Main Authors: Lu, Shilin, Wang, Zilan, Li, Leyang, Liu, Yanzhu, Kong, Adams Wai Kin
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
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

Internet

https://hdl.handle.net/10356/180560
https://openaccess.thecvf.com/CVPR2024?day=all

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