Poster "concept removal" Papers
6 papers found
Conference
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
lingyun zhang, Yu Xie, Yanwei Fu et al.
CVPR 2025arXiv:2412.01244
5
citations
Continuous Concepts Removal in Text-to-image Diffusion Models
Tingxu Han, Weisong Sun, Yanrong Hu et al.
NEURIPS 2025arXiv:2412.00580
3
citations
Removing Concepts from Text-to-Image Models with Only Negative Samples
Hanwen Liu, Yadong Mu
NEURIPS 2025
Targeted Unlearning with Single Layer Unlearning Gradient
Zikui Cai, Yaoteng Tan, M. Salman Asif
ICML 2025arXiv:2407.11867
3
citations
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Zhi-Yi Chin, Chieh Ming Jiang, Ching-Chun Huang et al.
ICML 2024arXiv:2309.06135
132
citations
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
Sanghyun Kim, Seohyeon Jung, Balhae Kim et al.
ECCV 2024arXiv:2407.21032
10
citations