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"

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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 338 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 99 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 90 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 81 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 72 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 80 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 114 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 78 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 76 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 72 1 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 65 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 80 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 68 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 101 18 0 28 Feb 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 50 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 47 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
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Xinyu Tang Richard Shin Huseyin A. Inan Andre Manoel Fatemehsadat Mireshghallah Zinan Lin Sivakanth Gopi Janardhan Kulkarni Robert Sim 65 57 0 21 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
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 31 148 0 04 Jul 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Wei Ping Weixin Chen Hengzhi Pei Chulin Xie Mintong Kang ... Zinan Lin Yuk-Kit Cheng Sanmi Koyejo D. Song Yue Liu 34 405 0 20 Jun 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 60 1 0 20 Apr 2023
Summary Statistic Privacy in Data Sharing Zinan Lin Shuaiqi Wang Vyas Sekar Giulia Fanti 59 7 0 03 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 46 69 0 27 Feb 2023
Why Is Public Pretraining Necessary for Private Model Training? Arun Ganesh Mahdi Haghifam Milad Nasr Sewoong Oh Thomas Steinke Om Thakkar Abhradeep Thakurta Lun Wang 31 37 0 19 Feb 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 86 582 0 30 Jan 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 69 47 0 03 Dec 2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe Xiang Yue Huseyin A. Inan Xuechen Li Girish Kumar Julia McAnallen Hoda Shajari Huan Sun David Levitan Robert Sim 67 80 0 25 Oct 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 57 92 0 18 Oct 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
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 45 134 0 15 Jun 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 35 26 0 03 Jun 2022
Pre-trained Perceptual Features Improve Differentially Private Image Generation Fredrik Harder Milad Jalali Asadabadi Danica J. Sutherland Mijung Park 53 28 0 25 May 2022
Unlocking High-Accuracy Differentially Private Image Classification through Scale Soham De Leonard Berrada Jamie Hayes Samuel L. Smith Borja Balle 45 223 0 28 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 252 6,768 0 13 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 68 112 0 31 Mar 2022