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"

18 / 68 papers shown

Title
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 308 1,385 0 24 Jan 2022
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 75 162 0 13 Jan 2022
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 238 3,552 0 20 Dec 2021
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 329 611 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 327 4,873 0 24 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 184 3,621 0 18 Feb 2021
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 62 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 406 1,868 0 14 Dec 2020
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation August DuMont Schütte J. Hetzel S. Gatidis Tobias Hepp Benedikt Dietz Stefan Bauer Patrick Schwab MedIm 42 68 0 29 Nov 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 98 454 0 09 Aug 2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search Yuan Tian Qin Wang Zhiwu Huang Wen Li Dengxin Dai Minghao Yang Jun Wang Olga Fink OffRL 34 61 0 17 Jul 2020
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 74 604 0 18 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 120 1,873 0 11 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 178 3,803 0 12 Jul 2019
Metropolis-Hastings Generative Adversarial Networks Ryan D. Turner Jane Hung Eric Frank Yunus Saatci J. Yosinski GAN 42 99 0 28 Nov 2018
GANs for Medical Image Analysis Salome Kazeminia Christoph Baur Arjan Kuijper Bram van Ginneken Nassir Navab Shadi Albarqouni Anirban Mukhopadhyay MedIm AI4CE 41 413 0 13 Sep 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 203 4,075 0 18 Oct 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 371 8,999 0 10 Jun 2016