Privately generating tabular data using language models

Privately generating tabular data using language models

7 June 2023

Alexandre Sablayrolles

Papers citing "Privately generating tabular data using language models"

7 / 7 papers shown

Title
Benchmarking Differentially Private Tabular Data Synthesis Kai Chen Xiaochen Li Chen Gong Ryan McKenna Tianhao Wang 28 0 0 18 Apr 2025
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? Marika Swanberg Ryan McKenna Edo Roth Albert Cheu Peter Kairouz 70 0 0 10 Feb 2025
Differentially Private Tabular Data Synthesis using Large Language Models Toan V. Tran Li Xiong SyDa 38 6 0 03 Jun 2024
Qrlew: Rewriting SQL into Differentially Private SQL Nicolas Grislain Paul Roussel Victoria de Sainte Agathe 18 1 0 11 Jan 2024
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 159 350 0 25 Sep 2021
Composable Generative Models Johan Leduc Nicolas Grislain SyDa 33 4 0 18 Feb 2021
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 243 4,469 0 23 Jan 2020