Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

30 March 2023

Papers citing "Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models"

45 / 145 papers shown

Title
Copyright Protection in Generative AI: A Technical Perspective Jie Ren Han Xu Pengfei He Yingqian Cui Shenglai Zeng ... Hongzhi Wen Jiayuan Ding Hui Liu Yi Chang Jiliang Tang DeLMO 16 30 0 04 Feb 2024
Separable Multi-Concept Erasure from Diffusion Models Mengnan Zhao Lihe Zhang Tianhang Zheng Yuqiu Kong Baocai Yin 41 9 0 03 Feb 2024
EraseDiff: Erasing Data Influence in Diffusion Models Jing Wu Trung Le Munawar Hayat Mehrtash Harandi DiffM 64 14 0 11 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 23 12 0 11 Jan 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline Haonan Wang Qianli Shen Yao Tong Yang Zhang Kenji Kawaguchi 37 22 0 07 Jan 2024
A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models Rui-ya Ma Qiang Zhou Yizhu Jin Daquan Zhou Bangjun Xiao ... Jingtong Hu Xiaodong Xie Zhen Dong Shanghang Zhang Shiji Zhou 6 2 0 04 Jan 2024
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models Seunghoo Hong Juhun Lee Simon S. Woo 15 17 0 20 Dec 2023
Latent Space Editing in Transformer-Based Flow Matching Vincent Tao Hu David W. Zhang Pascal Mettes Meng Tang Deli Zhao Cees G. M. Snoek 31 29 0 17 Dec 2023
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models Jiayi Guo Xingqian Xu Yifan Pu Zanlin Ni Chaofei Wang Manushree Vasu Shiji Song Gao Huang Humphrey Shi DiffM 14 28 0 07 Dec 2023
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 22 8 0 30 Nov 2023
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers Chi-Pin Huang Kai-Po Chang Chung-Ting Tsai Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang DiffM 11 46 0 29 Nov 2023
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models Xiang Li Qianli Shen Kenji Kawaguchi 25 3 0 29 Nov 2023
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li Chengzhi Shen Philip H. S. Torr Volker Tresp Jindong Gu 24 30 0 28 Nov 2023
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models Samuele Poppi Tobia Poppi Federico Cocchi Marcella Cornia Lorenzo Baraldi Rita Cucchiara VLM 19 8 0 27 Nov 2023
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models Rohit Gandikota Joanna Materzyñska Tingrui Zhou Antonio Torralba David Bau DiffM 30 61 0 20 Nov 2023
ChatAnything: Facetime Chat with LLM-Enhanced Personas Yilin Zhao Xinbin Yuan Shanghua Gao Zhijie Lin Qibin Hou Jiashi Feng Daquan Zhou 21 1 0 12 Nov 2023
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models Shawn Shan Wenxin Ding Josephine Passananti Stanley Wu Haitao Zheng Ben Y. Zhao SILM DiffM 24 36 0 20 Oct 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Chongyu Fan Jiancheng Liu Yihua Zhang Eric Wong Dennis Wei Sijia Liu MU 11 120 0 19 Oct 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 17 79 0 18 Oct 2023
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 Bo-wen Li Pin-Yu Chen Chia-Mu Yu Chun-ying Huang DiffM 20 76 0 16 Oct 2023
Implicit Concept Removal of Diffusion Models Zhili Liu Kai Chen Yifan Zhang Jianhua Han Lanqing Hong Hang Xu Zhenguo Li Dit-Yan Yeung James T. Kwok 15 13 0 09 Oct 2023
Toward effective protection against diffusion based mimicry through score distillation Haotian Xue Chumeng Liang Xiaoyu Wu Yongxin Chen DiffM AAML 35 31 0 02 Oct 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks Vaidehi Patil Peter Hase Mohit Bansal KELM AAML 18 93 0 29 Sep 2023
Security and Privacy on Generative Data in AIGC: A Survey Tao Wang Yushu Zhang Shuren Qi Ruoyu Zhao Zhihua Xia Jian Weng 43 41 0 18 Sep 2023
On Copyright Risks of Text-to-Image Diffusion Models Yang Zhang Teoh Tze Tzun Lim Wei Hern Haonan Wang Kenji Kawaguchi 31 9 0 15 Sep 2023
ORES: Open-vocabulary Responsible Visual Synthesis Minheng Ni Chenfei Wu Xiaodong Wang Sheng-Siang Yin Lijuan Wang Zicheng Liu Nan Duan DiffM 23 8 0 26 Aug 2023
Unified Concept Editing in Diffusion Models Rohit Gandikota Hadas Orgad Yonatan Belinkov Joanna Materzyñska David Bau DiffM 36 160 0 25 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 12 4 0 18 Aug 2023
Circumventing Concept Erasure Methods For Text-to-Image Generative Models Minh Pham Kelly O. Marshall Niv Cohen Govind Mittal C. Hegde DiffM 14 37 0 03 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 45 0 16 Jul 2023
Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models Sanghyun Kim Seohyeong Jung Balhae Kim Moonseok Choi Jinwoo Shin Juho Lee DiffM 26 29 0 12 Jul 2023
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback Taeho Yoon Kibeom Myoung Keon Lee Jaewoong Cho Albert No Ernest K. Ryu 10 6 0 06 Jul 2023
Federated Generative Learning with Foundation Models Jie M. Zhang Xiaohua Qi Bo-Lu Zhao FedML 29 21 0 28 Jun 2023
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models Xingqian Xu Jiayi Guo Zhangyang Wang Gao Huang Irfan Essa Humphrey Shi VLM DiffM 25 57 0 25 May 2023
Data Redaction from Conditional Generative Models Zhifeng Kong Kamalika Chaudhuri KELM 16 7 0 18 May 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models Alvin Heng Harold Soh VLM KELM DiffM 23 104 0 17 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 30 25 0 10 May 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 19 103 0 11 Apr 2023
Feature Unlearning for Pre-trained GANs and VAEs Saemi Moon Seunghyuk Cho Dongwoo Kim SSL GAN MU 13 13 0 10 Mar 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 168 49 0 30 May 2022
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 193 132 0 10 Sep 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 253 4,735 0 24 Feb 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 273 1,077 0 17 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018