DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning

DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning

21 March 2024

Jonathan Lebensold

Adriana Romero Soriano

Kamalika Chaudhuri

Papers citing "DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning"

9 / 9 papers shown

Title
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models Tanqiu Jiang Changjiang Li Fenglong Ma Ting Wang 70 0 0 18 Feb 2025
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 86 6 0 07 Jul 2024
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective Lukas Wutschitz Boris Köpf Andrew J. Paverd Saravan Rajmohan Ahmed Salem Shruti Tople Santiago Zanella Béguelin Menglin Xia Victor Rühle 44 13 0 27 Nov 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 36 140 0 08 Feb 2023
Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen Hexiang Hu Chitwan Saharia William W. Cohen VLM 125 161 0 29 Sep 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 346 0 13 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 156 349 0 25 Sep 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 206 133 0 10 Sep 2021
Individual Privacy Accounting via a Renyi Filter Vitaly Feldman Tijana Zrnic 59 86 0 25 Aug 2020