Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2312.16145
Cited By
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications"
49 / 49 papers shown
Title
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
Shristi Das Biswas
Arani Roy
Kaushik Roy
DiffM
5
0
0
19 May 2025
One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework
Feiran Li
Qianqian Xu
Shilong Bao
Zhiyong Yang
Xiaochun Cao
Qingming Huang
DiffM
12
0
0
16 May 2025
Towards SFW sampling for diffusion models via external conditioning
Camilo Carvajal Reyes
J. Fontbona
Felipe A. Tobar
DiffM
34
0
0
12 May 2025
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning
Siyi Chen
Yimeng Zhang
Sijia Liu
Q. Qu
AAML
147
0
0
30 Apr 2025
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
Jonas Henry Grebe
Tobias Braun
Marcus Rohrbach
Anna Rohrbach
AAML
85
0
0
29 Apr 2025
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li
Shilin Lu
Yan Ren
A. Kong
DiffM
46
1
0
17 Apr 2025
ACE: Attentional Concept Erasure in Diffusion Models
Finn Carter
DiffM
59
0
0
16 Apr 2025
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
Gen Li
Yang Xiao
Jie Ji
Kaiyuan Deng
Bo Hui
Linke Guo
Xiaolong Ma
24
0
0
12 Apr 2025
Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models
K. Thakral
Tamar Glaser
Tal Hassner
Mayank Vatsa
Richa Singh
52
2
0
25 Mar 2025
Safe and Reliable Diffusion Models via Subspace Projection
Huiqiang Chen
Tianqing Zhu
Linlin Wang
Xin Yu
Longxiang Gao
Wanlei Zhou
DiffM
58
2
0
21 Mar 2025
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
Feifei Li
Mi Zhang
Yiming Sun
Min Yang
DiffM
56
1
0
19 Mar 2025
A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models
Ziqiang Li
Jun Li
Lizhi Xiong
Zhangjie Fu
Zechao Li
VLM
59
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
96
1
0
12 Mar 2025
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
Ouxiang Li
Yuan Wang
Xinting Hu
Houcheng Jiang
Tao Liang
Y. Hao
Guojun Ma
Fuli Feng
DiffM
49
1
0
10 Mar 2025
TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision
Shaobin Zhuang
Yiwei Guo
Yanbo Ding
Kunchang Li
Xinyuan Chen
Yaohui Wang
Fangyikang Wang
Ying Zhang
Chen Li
Y. Wang
45
0
0
10 Mar 2025
TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
Ruidong Chen
Honglin Guo
Lanjun Wang
Chenyu Zhang
Weizhi Nie
An-an Liu
DiffM
66
1
0
10 Mar 2025
On the Vulnerability of Concept Erasure in Diffusion Models
Lucas Beerens
Alex D. Richardson
Kaixuan Zhang
Dongdong Chen
DiffM
65
2
0
24 Feb 2025
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models
Changhoon Kim
Yanjun Qi
DiffM
45
1
0
17 Feb 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
Bartosz Cywiñski
Kamil Deja
DiffM
63
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
Yong-Hyun Park
Sangdoo Yun
Jin-Hwa Kim
Junho Kim
Geonhui Jang
Yonghyun Jeong
Junghyo Jo
Gayoung Lee
76
13
0
17 Jan 2025
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
Feng Han
Kai-xiang Chen
Chao Gong
Zhipeng Wei
Jingjing Chen
Yu-Gang Jiang
46
2
0
03 Jan 2025
Provable Uncertainty Decomposition via Higher-Order Calibration
Gustaf Ahdritz
Aravind Gollakota
Parikshit Gopalan
Charlotte Peale
Udi Wieder
UD
UQCV
PER
52
0
0
25 Dec 2024
Memories of Forgotten Concepts
M. Rusanovsky
Shimon Malnick
Amir Jevnisek
Ohad Fried
S. Avidan
DiffM
61
0
0
01 Dec 2024
Continuous Concepts Removal in Text-to-image Diffusion Models
Tingxu Han
Dongrui Liu
Yanrong Hu
Chunrong Fang
Yonglong Zhang
Shiqing Ma
Tao Zheng
Zhenyu Chen
Zhenting Wang
DiffM
112
2
0
30 Nov 2024
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
Fan Yang
Ru Zhen
J. T. Wang
Yanhao Zhang
Haoxiang Chen
Haonan Lu
Sicheng Zhao
Guiguang Ding
71
0
0
26 Nov 2024
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
87
0
0
25 Nov 2024
MUNBa: Machine Unlearning via Nash Bargaining
Jing Wu
Mehrtash Harandi
MU
71
3
0
23 Nov 2024
Model Integrity when Unlearning with T2I Diffusion Models
Andrea Schioppa
Emiel Hoogeboom
Jonathan Heek
43
1
0
04 Nov 2024
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
Anh-Vu Bui
L. Vuong
Khanh Doan
Trung Le
Paul Montague
Tamas Abraham
Dinh Q. Phung
KELM
DiffM
32
9
0
21 Oct 2024
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
Jaehong Yoon
Shoubin Yu
Vaidehi Patil
Huaxiu Yao
Joey Tianyi Zhou
79
15
0
16 Oct 2024
RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining
Yufan Liu
Jinyang An
Wanqian Zhang
Ming Li
Dayan Wu
Jingzi Gu
Zheng-Shen Lin
Weiping Wang
29
4
0
11 Oct 2024
Attention Shift: Steering AI Away from Unsafe Content
Shivank Garg
Manyana Tiwari
31
0
0
06 Oct 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffM
MedIm
53
16
0
06 Aug 2024
Towards Understanding Unsafe Video Generation
Yan Pang
Aiping Xiong
Yang Zhang
Tianhao Wang
EGVM
34
2
0
17 Jul 2024
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao
Xiaohan Ding
Juexiao Feng
Yuhong Yang
Hui Chen
Guiguang Ding
VLM
MQ
32
5
0
15 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
53
1
0
21 Jun 2024
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model
Changhoon Kim
Kyle Min
Yezhou Yang
42
20
0
25 May 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang
Xin Chen
Jinghan Jia
Yihua Zhang
Chongyu Fan
Jiancheng Liu
Mingyi Hong
Ke Ding
Sijia Liu
DiffM
38
52
0
24 May 2024
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
55
19
0
24 May 2024
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
Masane Fuchi
Tomohiro Takagi
DiffM
VLM
53
13
0
12 May 2024
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation
Yizhe Xiong
Hui Chen
Tianxiang Hao
Zijia Lin
Jungong Han
Yuesong Zhang
Guoxin Wang
Yongjun Bao
Guiguang Ding
51
17
0
14 Mar 2024
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
Yihua Zhang
Chongyu Fan
Yimeng Zhang
Yuguang Yao
Jinghan Jia
...
Gaoyuan Zhang
Gaowen Liu
Ramana Rao Kompella
Xiaoming Liu
Sijia Liu
DiffM
42
5
0
19 Feb 2024
EraseDiff: Erasing Data Influence in Diffusion Models
Jing Wu
Trung Le
Munawar Hayat
Mehrtash Harandi
DiffM
69
14
0
11 Jan 2024
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando
Daniel Paleka
David Lindner
Lennard Heim
Florian Tramèr
DiffM
126
183
0
03 Oct 2022
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
342
1,591
0
10 Nov 2021
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
238
806
0
14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
321
75,834
0
18 May 2015
1