Extracting Training Data from Diffusion Models

Extracting Training Data from Diffusion Models

30 January 2023

Nicholas Carlini

Matthew Jagielski

Florian Tramèr

Daphne Ippolito

Papers citing "Extracting Training Data from Diffusion Models"

14 / 414 papers shown

Title
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data Hyemin Gu P. Birmpa Yannis Pantazis Luc Rey-Bellet M. Katsoulakis 14 2 0 31 Oct 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report Pouria Rouzrokh Bardia Khosravi S. Faghani Mana Moassefi Sanaz Vahdati Bradley J. Erickson DiffM MedIm 57 24 0 21 Oct 2022
Does CLIP Know My Face? Dominik Hintersdorf Lukas Struppek Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting VLM 13 9 0 15 Sep 2022
Brain Imaging Generation with Latent Diffusion Models W. H. Pinaya Petru-Daniel Tudosiu J. Dafflon P. F. D. Costa Virginia Fernandez P. Nachev Sebastien Ourselin M. Jorge Cardoso DiffM MedIm 87 284 0 15 Sep 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases Rohan Taori Tatsunori B. Hashimoto 64 42 0 08 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 20 46 0 19 Aug 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 136 54 0 23 Feb 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 211 1,353 0 24 Jan 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 237 588 0 14 Jul 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 4,764 0 24 Feb 2021
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 29 72 0 09 Feb 2021
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