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One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and
  Erasing Applications

One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

26 December 2023
Mengyao Lyu
Yuhong Yang
Haiwen Hong
Hui Chen
Xuan Jin
Yuan He
Hui Xue
Jungong Han
Guiguang Ding
    DiffM
ArXivPDFHTML

Papers citing "One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications"

18 / 18 papers shown
Title
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning
Siyi Chen
Yimeng Zhang
Sijia Liu
Q. Qu
AAML
82
0
0
30 Apr 2025
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
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
Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models
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
85
1
0
12 Mar 2025
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models
Changhoon Kim
Yanjun Qi
DiffM
33
1
0
17 Feb 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
Bartosz Cywiñski
Kamil Deja
DiffM
61
6
0
29 Jan 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
72
2
0
28 Jan 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
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
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
109
2
0
30 Nov 2024
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models
Zhi-Yi Chin
Kuan-Chen Mu
Mario Fritz
Pin-Yu Chen
DiffM
83
0
0
25 Nov 2024
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
Jaehong Yoon
Shoubin Yu
Vaidehi Patil
Huaxiu Yao
Mohit Bansal
64
14
0
16 Oct 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
  Survey
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffM
MedIm
38
16
0
06 Aug 2024
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
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
40
1
0
21 Jun 2024
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Yongliang Wu
Shiji Zhou
Mingzhuo Yang
Lianzhe Wang
Wenbo Zhu
Heng Chang
Xiao Zhou
Xu Yang
Xu Yang
53
18
0
24 May 2024
Red-Teaming the Stable Diffusion Safety Filter
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando
Daniel Paleka
David Lindner
Lennard Heim
Florian Tramèr
DiffM
122
183
0
03 Oct 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
325
1,584
0
10 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
804
0
14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
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