Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models

17 September 2024

Mingyuan Zhou

Papers citing "Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models"

50 / 71 papers shown

Title
On Penalty-based Bilevel Gradient Descent Method Han Shen Quan-Wu Xiao Tianyi Chen 93 56 0 08 Jan 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 65 57 0 24 May 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou Huangjie Zheng Zhendong Wang Mingzhang Yin Hai Huang DiffM 64 58 0 05 Apr 2024
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation Thuan Hoang Nguyen Anh Tran DiffM 39 63 0 08 Dec 2023
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 149 252 0 30 Nov 2023
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs Yanwu Xu Yang Zhao Zhisheng Xiao Tingbo Hou 154 110 0 14 Nov 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 47 131 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 92 92 0 18 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng Zhendong Wang Jianbo Yuan Guanghan Ning Pengcheng He Quanzeng You Hongxia Yang Mingyuan Zhou 56 10 0 10 Oct 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 44 13 0 14 Sep 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities Alexander X. Oesterling Jiaqi Ma Flavio du Pin Calmon Hima Lakkaraju FaML MU 64 20 0 27 Jul 2023
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 171 2,242 0 04 Jul 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models Weijian Luo Tianyang Hu Shifeng Zhang Jiacheng Sun Zhenguo Li Zhihua Zhang 56 120 0 29 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Tianqi Chen Mingyuan Zhou DiffM 71 9 0 28 May 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Zhengyi Wang Cheng Lu Yikai Wang Fan Bao Chongxuan Li Hang Su Jun Zhu DiffM 149 837 0 25 May 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models Alvin Heng Harold Soh VLM KELM DiffM 58 110 0 17 May 2023
In-Context Learning Unlocked for Diffusion Models Zhendong Wang Yi Ding Yadong Lu Yelong Shen Pengcheng He Weizhu Chen Zhangyang Wang Mingyuan Zhou VLM DiffM 109 73 0 01 May 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models Korawat Tanwisuth Shujian Zhang Huangjie Zheng Pengcheng He Mingyuan Zhou VLM VPVLM 141 27 0 29 Apr 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 56 117 0 11 Apr 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models Eric Zhang Kai Wang Xingqian Xu Zhangyang Wang Humphrey Shi DiffM 69 185 0 30 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 30 195 0 23 Mar 2023
Boundary Unlearning Min Chen Weizhuo Gao Gaoyang Liu Kai Peng Chen Wang MU 123 73 0 21 Mar 2023
Erasing Concepts from Diffusion Models Rohit Gandikota Joanna Materzyñska Jaden Fiotto-Kaufman David Bau DiffM 54 298 0 13 Mar 2023
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets Weixin Chen D. Song Yue Liu DiffM 63 77 0 10 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 95 930 0 02 Mar 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models Shawn Shan Jenna Cryan Emily Wenger Haitao Zheng Rana Hanocka Ben Y. Zhao WIGM 38 182 0 08 Feb 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 114 290 0 09 Nov 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 163 206 0 04 Oct 2022
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 151 192 0 03 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 118 2,359 0 29 Sep 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 91 810 0 29 Sep 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 62 339 0 25 Aug 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 61 34 0 23 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 102 3,830 0 26 Jul 2022
A Data-Based Perspective on Transfer Learning Saachi Jain Hadi Salman Alaa Khaddaj Eric Wong Sung Min Park Aleksander Madry 48 38 0 12 Jul 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 57 127 0 12 Jul 2022
Diffusion-GAN: Training GANs with Diffusion Zhendong Wang Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 49 225 0 05 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 145 1,907 0 01 Jun 2022
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 304 5,904 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 305 6,768 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 272 15,081 0 20 Dec 2021
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 258 3,552 0 20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 70 545 0 15 Dec 2021
Alignment Attention by Matching Key and Query Distributions Shujian Zhang Xinjie Fan Huangjie Zheng Korawat Tanwisuth Mingyuan Zhou OOD 66 10 0 25 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 80 103 0 22 Oct 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 52 167 0 27 Sep 2021
Machine Unlearning of Features and Labels Alexander Warnecke Lukas Pirch Christian Wressnegger Konrad Rieck MU 52 177 0 26 Aug 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 109 900 0 07 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 150 7,639 0 11 May 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 38 141 0 27 Mar 2021