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Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation

21 October 2024

Papers citing "Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation"

41 / 41 papers shown

Title
TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models Finn Carter DiffM 77 0 0 29 May 2025
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression Yiwei Xie Ping Liu Zheng Zhang 123 0 0 26 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 114 0 0 16 May 2025
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 122 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 105 4 0 17 Apr 2025
ACE: Attentional Concept Erasure in Diffusion Models Finn Carter DiffM 110 1 0 16 Apr 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 Enchao Gong Kui Ren Ruoxi Jia Jiaheng Zhang DiffM 133 2 0 12 Mar 2025
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 102 67 0 24 May 2024
MACE: Mass Concept Erasure in Diffusion Models Shilin Lu Zilan Wang Leyang Li Yanzhu Liu A. Kong DiffM 92 93 0 10 Mar 2024
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 82 67 0 26 Dec 2023
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection Xuanyu Zhang Runyi Li Jiwen Yu You-song Xu Weiqi Li Jian Zhang WIGM 82 50 0 12 Dec 2023
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning Yixin Liu Chenrui Fan Yutong Dai Xun Chen Pan Zhou Lichao Sun DiffM 64 23 0 22 Nov 2023
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 145 100 0 18 Oct 2023
Toward effective protection against diffusion based mimicry through score distillation Haotian Xue Chumeng Liang Xiaoyu Wu Yongxin Chen DiffM AAML 73 37 0 02 Oct 2023
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 69 77 0 12 Sep 2023
Unified Concept Editing in Diffusion Models Rohit Gandikota Hadas Orgad Yonatan Belinkov Joanna Materzyñska David Bau DiffM 110 192 0 25 Aug 2023
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models Y. Qu Xinyue Shen Xinlei He Michael Backes Savvas Zannettou Yang Zhang 55 121 0 23 May 2023
SneakyPrompt: Jailbreaking Text-to-image Generative Models Yuchen Yang Bo Hui Haolin Yuan Neil Zhenqiang Gong Yinzhi Cao EGVM 150 92 0 20 May 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models Eric Zhang Kai Wang Xingqian Xu Zhangyang Wang Humphrey Shi DiffM 113 193 0 30 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 92 100 0 27 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models Nupur Kumari Bin Zhang Sheng-Yu Wang Eli Shechtman Richard Y. Zhang Jun-Yan Zhu VLM 73 201 0 23 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models Hadas Orgad Bahjat Kawar Yonatan Belinkov DiffM 90 91 0 14 Mar 2023
Erasing Concepts from Diffusion Models Rohit Gandikota Joanna Materzyñska Jaden Fiotto-Kaufman David Bau DiffM 106 311 0 13 Mar 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 139 310 0 09 Nov 2022
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 200 205 0 03 Oct 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 282 2,891 0 25 Aug 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Rinon Gal Yuval Alaluf Yuval Atzmon Or Patashnik Amit H. Bermano Gal Chechik Daniel Cohen-Or 168 1,898 0 02 Aug 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 419 6,916 0 13 Apr 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 89 45 0 27 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 505 15,788 0 20 Dec 2021
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 OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 420 5,000 0 24 Feb 2021
Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh-Vu Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML 51 24 0 10 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 748 18,364 0 19 Jun 2020
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,938 0 11 Jan 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models Wieland Brendel Jonas Rauber Matthias Bethge AAML 73 1,351 0 12 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,390 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 200 2,541 0 02 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014