A Reproducible Extraction of Training Images from Diffusion Models

15 May 2023

Papers citing "A Reproducible Extraction of Training Images from Diffusion Models"

8 / 8 papers shown

Title
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models C. L. P. Chen Daochang Liu M. Shah Chang Xu 57 1 0 25 Apr 2025
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization Anubhav Jain Yuya Kobayashi Takashi Shibuya Yuhta Takida N. Memon Julian Togelius Yuki Mitsufuji DiffM 104 2 0 23 Nov 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 40 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 76 1 0 29 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention C. L. P. Chen Daochang Liu M. Shah Chang Xu 57 3 0 29 Oct 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 33 7 0 22 Jul 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 70 30 0 17 Jun 2024
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 267 1,808 0 14 Dec 2020