On Memorization in Diffusion Models

21 February 2025

Papers citing "On Memorization in Diffusion Models"

35 / 35 papers shown

Title
Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives Chengyang He Xu Liu Gadiel Sznaier Camps Guillaume Sartoretti Mac Schwager 14 0 0 09 May 2025
Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising Yinchi Zhou Huidong Xie Menghua Xia Qiong Liu Bo Zhou ... Biao Li Axel Rominger Kuangyu Shi Nicha C. Dvorneka Chi Liu FedML MedIm 43 0 0 20 Mar 2025
On the Interpolation Effect of Score Smoothing Zhengdao Chen DiffM 71 0 0 26 Feb 2025
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models Shunchang Liu Zhuan Shi Lingjuan Lyu Yaochu Jin Boi Faltings 52 2 0 24 Feb 2025
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang Zhimeng Jiang Huiyuan Chen Xiao Li Jing Li 62 2 0 15 Dec 2024
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication Chenghao Li Yuke Zhang Dake Chen Jingqi Xu P. Beerel 61 0 0 02 Dec 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure Xiang Li Yixiang Dai Qing Qu DiffM AI4CE 20 5 0 31 Oct 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 27 6 0 31 Oct 2024
Investigating Memorization in Video Diffusion Models C. L. P. Chen Enhuai Liu Daochang Liu M. Shah Chang Xu VGen DiffM 66 1 0 29 Oct 2024
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models Wenda Li Huijie Zhang Qing Qu WIGM 35 0 0 28 Oct 2024
Deep Generative Models for 3D Medical Image Synthesis Paul Friedrich Yannik Frisch P. Cattin 3DV MedIm 21 3 0 23 Oct 2024
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models Chumeng Liang Jiaxuan You 28 0 0 04 Oct 2024
Towards a Theoretical Understanding of Memorization in Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang DiffM 22 5 0 03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 57 7 0 03 Oct 2024
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning Yifu Yuan Zhenrui Zheng Zibin Dong Jianye Hao OffRL 26 0 0 28 Aug 2024
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models Chunsan Hong Tae-Hyun Oh Minhyuk Sung VLM EGVM 19 0 0 24 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 16 7 0 22 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 58 5 0 07 Jul 2024
Extracting Training Data from Unconditional Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang 26 5 0 18 Jun 2024
Evaluating and Mitigating IP Infringement in Visual Generative AI Zhenting Wang Chen Chen Vikash Sehwag Minzhou Pan Lingjuan Lyu EGVM 23 4 0 07 Jun 2024
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted Ruchika Chavhan Ondrej Bohdal Yongshuo Zong Da Li Timothy M. Hospedales 16 4 0 01 Jun 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models Hao Chen Yujin Han Diganta Misra Xiang Li Kai Hu Difan Zou Masashi Sugiyama Jindong Wang Bhiksha Raj DiffM 35 5 0 30 May 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI Tanja Sarcevic Alicja Karlowicz Rudolf Mayer Ricardo A. Baeza-Yates Andreas Rauber 37 3 0 22 Apr 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization Benjamin J. Zhang Siting Liu Wuchen Li M. Katsoulakis Stanley J. Osher DiffM 22 8 0 09 Feb 2024
On Catastrophic Inheritance of Large Foundation Models Hao Chen Bhiksha Raj Xing Xie Jindong Wang AI4CE 42 12 0 02 Feb 2024
A Good Score Does not Lead to A Good Generative Model Sixu Li Shi Chen Qin Li DiffM 53 15 0 10 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 20 22 0 07 Jan 2024
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min-Bin Lin TDI 11 20 1 01 Nov 2023
The Emergence of Reproducibility and Generalizability in Diffusion Models Huijie Zhang Jinfan Zhou Yifu Lu Minzhe Guo Peng Wang Liyue Shen Qing Qu DiffM 10 2 0 08 Oct 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 12 2 0 21 Feb 2023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models Rongjie Huang Jia-Bin Huang Dongchao Yang Yi Ren Luping Liu Mingze Li Zhenhui Ye Jinglin Liu Xiaoyue Yin Zhou Zhao DiffM 137 304 0 30 Jan 2023
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data Hyemin Gu P. Birmpa Yannis Pantazis Luc Rey-Bellet M. Katsoulakis 8 2 0 31 Oct 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 131 54 0 23 Feb 2022
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 261 1,798 0 14 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,696 0 15 Sep 2016