Differentially Private Synthetic Data via Foundation Model APIs 1: Images

24 May 2023

Papers citing "Differentially Private Synthetic Data via Foundation Model APIs 1: Images"

41 / 41 papers shown

Title
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... Jiajian Li Xiaozhou Ye Ye Ouyang Qiang Yang Yanzhe Zhang ALM 316 1 0 24 Apr 2025
Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 93 1 0 23 Apr 2025
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis Kecen Li Chen Gong Xiaochen Li Yuzhong Zhao Xinwen Hou Tianhao Wang 54 1 0 02 Apr 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead Viktor Schlegel Anil A Bharath Zilong Zhao Kevin Yee 71 0 0 26 Mar 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 67 3 0 18 Mar 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Bowen Tan Zheng Xu Eric P. Xing Zhiting Hu Shanshan Wu SyDa 94 1 0 16 Mar 2025
$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees Juan Felipe Gomez B. Kulynych G. Kaissis Jamie Hayes Borja Balle Antti Honkela 79 0 0 13 Mar 2025
Optimal Differentially Private Sampling of Unbounded Gaussians Valentio Iverson Gautam Kamath Argyris Mouzakis 56 0 0 03 Mar 2025
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis Jianwei Wang Junyao Yang Haoran Li Huiping Zhuang Cen Chen Huiping Zhuang SyDa 70 0 0 23 Feb 2025
Private Text Generation by Seeding Large Language Model Prompts Supriya Nagesh Justin Y. Chen Nina Mishra Tal Wagner SyDa SILM 75 1 0 20 Feb 2025
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? Marika Swanberg Ryan McKenna Edo Roth Albert Cheu Peter Kairouz 72 1 0 10 Feb 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Zinan Lin Tadas Baltrusaitis Wenyu Wang Sergey Yekhanin SyDa 101 1 0 08 Feb 2025
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey Yang Gu Hengyu You Jian Cao Muran Yu Haoran Fan Shiyou Qian LM&MA AI4CE 72 4 0 11 Nov 2024
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning Mingyang Chen Haoze Sun Tianpeng Li Fan Yang Hao Liang Keer Lu Tengjiao Wang Wentao Zhang Guosheng Dong Weipeng Chen LRM 65 5 0 16 Oct 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 73 3 0 03 Sep 2024
Synth-Empathy: Towards High-Quality Synthetic Empathy Data Hao Liang Linzhuang Sun Jingxuan Wei Xijie Huang Linkun Sun Bihui Yu Conghui He Wentao Zhang SyDa 70 4 0 31 Jul 2024
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models Zheng Liu Hao Liang Xijie Huang Wentao Xiong Qinhan Yu Linzhuang Sun Chong Chen Conghui He Tengjiao Wang Wentao Zhang SyDa 70 0 0 30 Jul 2024
Synthetic Data Aided Federated Learning Using Foundation Models Fatima Abacha Sin G. Teo Lucas C. Cordeiro Mustafa A. Mustafa FedML 44 2 0 06 Jul 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 62 10 0 05 Jun 2024
Differentially Private Tabular Data Synthesis using Large Language Models Toan V. Tran Li Xiong SyDa 49 6 0 03 Jun 2024
Differentially Private Fine-Tuning of Diffusion Models Yu-Lin Tsai Yizhe Li Zekai Chen Po-yu Chen Chia-Mu Yu Xuebin Ren Francois Buet-Golfouse 65 3 0 03 Jun 2024
Differentially Private Synthetic Data with Private Density Estimation Nikolija Bojkovic Po-Ling Loh SyDa 47 0 0 06 May 2024
Efficiently Computing Similarities to Private Datasets A. Backurs Zinan Lin S. Mahabadi Sandeep Silwal Jakub Tarnawski 75 4 0 13 Mar 2024
Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie Zinan Lin A. Backurs Sivakanth Gopi Da Yu ... Haotian Jiang Huishuai Zhang Yin Tat Lee Yue Liu Sergey Yekhanin SyDa 63 36 0 04 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 73 18 0 28 Feb 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 49 20 0 21 Feb 2024
Hot PATE: Private Aggregation of Distributions for Diverse Task Edith Cohen Benjamin Cohen-Wang Xin Lyu Jelani Nelson Tamas Sarlos Uri Stemmer 69 3 0 04 Dec 2023
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining Kecen Li Chen Gong Zhixiang Li Yuzhong Zhao Xinwen Hou Tianhao Wang 45 10 0 19 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 41 4 0 27 Sep 2023
SoK: Privacy-Preserving Data Synthesis Yuzheng Hu Fan Wu Yue Liu Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Yue Liu D. Song 70 27 0 05 Jul 2023
Textbooks Are All You Need Suriya Gunasekar Yi Zhang J. Aneja C. C. T. Mendes Allison Del Giorno ... Sébastien Bubeck Ronen Eldan Adam Tauman Kalai Y. Lee Yuan-Fang Li AI4CE ALM SyDa 45 397 0 20 Jun 2023
Differentially Private Latent Diffusion Models Saiyue Lyu Michael F. Liu Margarita Vinaroz Mijung Park 41 24 0 25 May 2023
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase Chih-Hsun Lin Chia-Yi Hsu Chia-Mu Yu Yang Cao Chun-ying Huang 58 1 0 20 Apr 2023
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping Jiyan He Xuechen Li Da Yu Huishuai Zhang Janardhan Kulkarni Y. Lee A. Backurs Nenghai Yu Jiang Bian 64 47 0 03 Dec 2022
When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li Daogao Liu Tatsunori Hashimoto Huseyin A. Inan Janardhan Kulkarni Y. Lee Abhradeep Thakurta 47 58 0 01 Jul 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 31 26 0 03 Jun 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 46 30,021 0 01 Mar 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 36 603 0 15 Feb 2022
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 41 71 0 01 Nov 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 74 3,599 0 18 Feb 2021
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 36 395 0 16 May 2018