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TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models

10 March 2025
Ruidong Chen
Honglin Guo
Lanjun Wang
Chenyu Zhang
Weizhi Nie
An-an Liu
    DiffM
ArXiv (abs)PDFHTML

Papers citing "TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models"

41 / 41 papers shown
Title
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
Yiwei Xie
Ping Liu
Zheng Zhang
108
0
0
26 May 2025
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li
Shilin Lu
Yan Ren
A. Kong
DiffM
97
4
0
17 Apr 2025
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
Joey Tianyi Zhou
127
23
0
16 Oct 2024
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
Chao Gong
Kai-xiang Chen
Zhipeng Wei
Jingjing Chen
Yulong Jiang
DiffM
105
37
0
17 Jul 2024
Defensive Unlearning with Adversarial Training for Robust Concept
  Erasure in Diffusion Models
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
95
61
0
24 May 2024
MACE: Mass Concept Erasure in Diffusion Models
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu
Zilan Wang
Leyang Li
Yanzhu Liu
A. Kong
DiffM
87
93
0
10 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
284
1,364
0
05 Mar 2024
Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
Senmao Li
Joost van de Weijer
Taihang Hu
Fahad Shahbaz Khan
Qibin Hou
Yaxing Wang
Jian Yang
DiffM
79
30
0
08 Feb 2024
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
Mengyao Lyu
Yuhong Yang
Haiwen Hong
Hui Chen
Xuan Jin
Yuan He
Hui Xue
Jungong Han
Guiguang Ding
DiffM
77
67
0
26 Dec 2023
MMA-Diffusion: MultiModal Attack on Diffusion Models
MMA-Diffusion: MultiModal Attack on Diffusion Models
Yijun Yang
Ruiyuan Gao
Xiaosen Wang
Tsung-Yi Ho
Nan Xu
Qiang Xu
64
75
0
29 Nov 2023
Localizing and Editing Knowledge in Text-to-Image Generative Models
Localizing and Editing Knowledge in Text-to-Image Generative Models
Samyadeep Basu
Nanxuan Zhao
Vlad I. Morariu
Soheil Feizi
Varun Manjunatha
DiffM
33
25
0
20 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still
  Easy To Generate Unsafe Images ... For Now
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Yimeng Zhang
Jinghan Jia
Xin Chen
Aochuan Chen
Yihua Zhang
Jiancheng Liu
Ke Ding
Sijia Liu
DiffM
114
94
0
18 Oct 2023
Survey of Vulnerabilities in Large Language Models Revealed by
  Adversarial Attacks
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Erfan Shayegani
Md Abdullah Al Mamun
Yu Fu
Pedram Zaree
Yue Dong
Nael B. Abu-Ghazaleh
AAML
215
163
0
16 Oct 2023
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion
  Models?
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
Yu-Lin Tsai
Chia-Yi Hsu
Chulin Xie
Chih-Hsun Lin
Jia-You Chen
Yue Liu
Pin-Yu Chen
Chia-Mu Yu
Chun-ying Huang
DiffM
83
89
0
16 Oct 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending
  Against Extraction Attacks
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
Vaidehi Patil
Peter Hase
Joey Tianyi Zhou
KELMAAML
119
106
0
29 Sep 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by
  Finding Problematic Prompts
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Zhi-Yi Chin
Chieh-Ming Jiang
Ching-Chun Huang
Pin-Yu Chen
Wei-Chen Chiu
DiffM
50
77
0
12 Sep 2023
Unified Concept Editing in Diffusion Models
Unified Concept Editing in Diffusion Models
Rohit Gandikota
Hadas Orgad
Yonatan Belinkov
Joanna Materzyñska
David Bau
DiffM
99
191
0
25 Aug 2023
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal
  Language Models
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani
Yue Dong
Nael B. Abu-Ghazaleh
101
150
0
26 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image
  Synthesis
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell
Zion English
Kyle Lacey
A. Blattmann
Tim Dockhorn
Jonas Muller
Joe Penna
Robin Rombach
222
2,413
0
04 Jul 2023
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
Dana Arad
Hadas Orgad
Yonatan Belinkov
KELM
104
19
0
01 Jun 2023
Spontaneous Symmetry Breaking in Generative Diffusion Models
Spontaneous Symmetry Breaking in Generative Diffusion Models
G. Raya
L. Ambrogioni
DiffM
56
37
0
31 May 2023
Training-Free Layout Control with Cross-Attention Guidance
Training-Free Layout Control with Cross-Attention Guidance
Minghao Chen
Iro Laina
Andrea Vedaldi
DiffM
193
236
0
06 Apr 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang
Kai Wang
Xingqian Xu
Zhangyang Wang
Humphrey Shi
DiffM
98
188
0
30 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari
Bin Zhang
Sheng-Yu Wang
Eli Shechtman
Richard Y. Zhang
Jun-Yan Zhu
VLM
55
201
0
23 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Hadas Orgad
Bahjat Kawar
Yonatan Belinkov
DiffM
88
91
0
14 Mar 2023
Erasing Concepts from Diffusion Models
Erasing Concepts from Diffusion Models
Rohit Gandikota
Joanna Materzyñska
Jaden Fiotto-Kaufman
David Bau
DiffM
85
304
0
13 Mar 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in
  Diffusion Models
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
P. Schramowski
Manuel Brack
Bjorn Deiseroth
Kristian Kersting
128
304
0
09 Nov 2022
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
177
205
0
03 Oct 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
193
3,898
0
26 Jul 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
437
6,062
0
23 May 2022
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn
  Reflecting on Inappropriate Content?
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?
P. Schramowski
Christopher Tauchmann
Kristian Kersting
FaML
90
94
0
14 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
463
15,665
0
20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
364
3,605
0
20 Dec 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
477
10,367
0
17 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
967
29,731
0
26 Feb 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
286
7,454
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
661
18,276
0
19 Jun 2020
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
728
132,199
0
12 Jun 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
575
27,325
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
419
43,777
0
01 May 2014
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