PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining

19 October 2023

Papers citing "PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining"

50 / 65 papers shown

Title
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 178 5 0 18 Mar 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Zinan Lin Tadas Baltrusaitis Wenyu Wang Sergey Yekhanin SyDa 132 4 0 08 Feb 2025
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 51 4 0 27 Sep 2023
FFCV: Accelerating Training by Removing Data Bottlenecks Guillaume Leclerc Andrew Ilyas Logan Engstrom Sung Min Park Hadi Salman Aleksander Madry 41 68 0 21 Jun 2023
Differentially Private Latent Diffusion Models Saiyue Lyu Michael F. Liu Margarita Vinaroz Mijung Park 79 26 0 25 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 108 43 0 24 May 2023
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders Benedikt Groß Gerhard Wunder SyDa 50 2 0 22 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 76 309 0 14 Apr 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.3K 14,289 0 15 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images Sahra Ghalebikesabi Leonard Berrada Sven Gowal Ira Ktena Robert Stanforth Jamie Hayes Soham De Samuel L. Smith Olivia Wiles Borja Balle DiffM 62 72 0 27 Feb 2023
Membership Inference Attacks against Diffusion Models Tomoya Matsumoto Takayuki Miura Naoto Yanai DiffM 53 57 0 07 Feb 2023
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining Florian Tramèr Gautam Kamath Nicholas Carlini SILM 65 72 0 13 Dec 2022
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder Bjarne Pfitzner B. Arnrich FedML 73 19 0 21 Nov 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 77 98 0 18 Oct 2022
DP $^2$ -VAE: Differentially Private Pre-trained Variational Autoencoders Dihong Jiang Guojun Zhang Mahdi Karami Xi Chen Yunfeng Shao Yaoliang Yu 64 15 0 05 Aug 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 220 823 0 27 May 2022
Pre-trained Perceptual Features Improve Differentially Private Image Generation Fredrik Harder Milad Jalali Asadabadi Danica J. Sutherland Mijung Park 70 29 0 25 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 360 6,854 0 13 Apr 2022
It's Raw! Audio Generation with State-Space Models Karan Goel Albert Gu Chris Donahue Christopher Ré 53 191 0 20 Feb 2022
Toward Training at ImageNet Scale with Differential Privacy Alexey Kurakin Shuang Song Steve Chien Roxana Geambasu Andreas Terzis Abhradeep Thakurta 68 102 0 28 Jan 2022
Differentially Private Generative Adversarial Networks with Model Inversion Dongjie Chen S. Cheung Chen-Nee Chuah Sally Ozonoff SyDa 49 13 0 10 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 388 15,454 0 20 Dec 2021
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 95 184 0 06 Dec 2021
Towards Understanding the Impact of Model Size on Differential Private Classification Yinchen Shen Zhiguo Wang Ruoyu Sun Xiaojing Shen 62 10 0 27 Nov 2021
Combined Scaling for Zero-shot Transfer Learning Hieu H. Pham Zihang Dai Golnaz Ghiasi Kenji Kawaguchi Hanxiao Liu ... Yi-Ting Chen Minh-Thang Luong Yonghui Wu Mingxing Tan Quoc V. Le VLM 60 199 0 19 Nov 2021
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 215 365 0 13 Oct 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 249 2,819 0 15 Jun 2021
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning Seng Pei Liew Tsubasa Takahashi Michihiko Ueno FedML 55 30 0 08 Jun 2021
Segmenter: Transformer for Semantic Segmentation Robin Strudel Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid ViT 196 1,464 0 12 May 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 71 471 0 15 Apr 2021
Rejoinder: Gaussian Differential Privacy Jinshuo Dong Aaron Roth Weijie J. Su 36 2 0 05 Apr 2021
CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review Dan Hendrycks Collin Burns Anya Chen Spencer Ball ELM AILaw 51 192 0 10 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 314 3,675 0 18 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 172 1,428 0 14 Dec 2020
Scaling Laws for Autoregressive Generative Modeling T. Henighan Jared Kaplan Mor Katz Mark Chen Christopher Hesse ... Nick Ryder Daniel M. Ziegler John Schulman Dario Amodei Sam McCandlish 90 422 0 28 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 234 7,350 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 558 18,008 0 19 Jun 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Dingfan Chen Tribhuvanesh Orekondy Mario Fritz SyDa 54 185 0 15 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 731 41,894 0 28 May 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks Xiujun Li Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu ... Houdong Hu Li Dong Furu Wei Yejin Choi Jianfeng Gao VLM 95 1,937 0 13 Apr 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 104 102 0 26 Feb 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 82 136 0 26 Feb 2020
DP-CGAN: Differentially Private Synthetic Data and Label Generation Reihaneh Torkzadehmahani Peter Kairouz B. Paten SyDa 69 236 0 27 Jan 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 557 4,797 0 23 Jan 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 264 5,808 0 03 Dec 2019
Generative Models for Effective ML on Private, Decentralized Datasets S. Augenstein H. B. McMahan Daniel Ramage Swaroop Indra Ramaswamy Peter Kairouz Mingqing Chen Rajiv Mathews Blaise Agüera y Arcas SyDa 85 182 0 15 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 83 681 0 16 Oct 2019
PPGAN: Privacy-preserving Generative Adversarial Network Yi Liu Jialiang Peng James Jianqiao Yu Yi Wu 49 70 0 04 Oct 2019
Rényi Differential Privacy of the Sampled Gaussian Mechanism Ilya Mironov Kunal Talwar Li Zhang 73 283 0 28 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 218 3,893 0 12 Jul 2019