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DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators
v1v2 (latest)

DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators

3 December 2024
Tejumade Afonja
Hui-Po Wang
Raouf Kerkouche
Mario Fritz
    SyDa
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators"

35 / 35 papers shown
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
Shuaiqi Wang
Vikas Raunak
A. Backurs
Victor Reis
Pei Zhou
Sihao Chen
Longqi Yang
Zinan Lin
Sergey Yekhanin
Giulia Fanti
SyDa
302
2
0
12 Sep 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead
Viktor Schlegel
Anil A Bharath
Zilong Zhao
Kevin Yee
391
5
0
26 Mar 2025
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
Marika Swanberg
Ryan McKenna
Edo Roth
Albert Cheu
Peter Kairouz
387
3
0
10 Feb 2025
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior ModelsNeural Information Processing Systems (NeurIPS), 2024
Hui-Po Wang
Mario Fritz
551
5
0
26 Sep 2024
Differentially Private Tabular Data Synthesis using Large Language
  Models
Differentially Private Tabular Data Synthesis using Large Language Models
Toan V. Tran
Li Xiong
SyDa
370
13
0
03 Jun 2024
Towards Biologically Plausible and Private Gene Expression Data
  Generation
Towards Biologically Plausible and Private Gene Expression Data Generation
Dingfan Chen
Marie Oestreich
Tejumade Afonja
Raouf Kerkouche
Matthias Becker
Mario Fritz
SyDa
285
8
0
07 Feb 2024
MargCTGAN: A "Marginally'' Better CTGAN for the Low Sample Regime
MargCTGAN: A "Marginally'' Better CTGAN for the Low Sample Regime
Tejumade Afonja
Dingfan Chen
Mario Fritz
201
10
0
16 Jul 2023
GPT-4 Technical Report
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
LLMAGMLLM
5.3K
23,506
0
15 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential
  Privacy
How to DP-fy ML: A Practical Guide to Machine Learning with Differential PrivacyJournal of Artificial Intelligence Research (JAIR), 2023
Natalia Ponomareva
Hussein Hazimeh
Alexey Kurakin
Zheng Xu
Carson E. Denison
H. B. McMahan
Sergei Vassilvitskii
Steve Chien
Abhradeep Thakurta
597
263
0
01 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
20.2K
19,316
0
27 Feb 2023
Large Language Models Are Human-Level Prompt Engineers
Large Language Models Are Human-Level Prompt EngineersInternational Conference on Learning Representations (ICLR), 2022
Yongchao Zhou
Andrei Ioan Muresanu
Ziwen Han
Keiran Paster
Silviu Pitis
Harris Chan
Jimmy Ba
ALMLLMAG
711
1,312
0
03 Nov 2022
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language ModelsJournal of machine learning research (JMLR), 2022
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLMLRM
1.8K
4,038
0
20 Oct 2022
Language Models are Realistic Tabular Data Generators
Language Models are Realistic Tabular Data GeneratorsInternational Conference on Learning Representations (ICLR), 2022
V. Borisov
Kathrin Seßler
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
LMTD
429
372
0
12 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
TabDDPM: Modelling Tabular Data with Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Akim Kotelnikov
Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
383
490
0
30 Sep 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Yuchao Tao
Ryan McKenna
Michael Hay
Ashwin Machanavajjhala
G. Miklau
SyDa
380
111
0
16 Dec 2021
Differentially Private Fine-tuning of Language Models
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
753
488
0
13 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
2.3K
4,887
0
03 Sep 2021
Winning the NIST Contest: A scalable and general approach to
  differentially private synthetic data
Winning the NIST Contest: A scalable and general approach to differentially private synthetic dataJournal of Privacy and Confidentiality (JPC), 2021
Ryan McKenna
G. Miklau
Daniel Sheldon
SyDa
322
159
0
11 Aug 2021
Synthetic Data -- Anonymisation Groundhog Day
Synthetic Data -- Anonymisation Groundhog DayUSENIX Security Symposium (USENIX Security), 2020
Theresa Stadler
Bristena Oprisanu
Carmela Troncoso
687
217
0
13 Nov 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
2.4K
56,453
0
28 May 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
1.8K
20,656
0
17 Feb 2020
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov
Kunal Talwar
Li Zhang
326
335
0
28 Aug 2019
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GANNeural Information Processing Systems (NeurIPS), 2019
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
599
1,815
0
01 Jul 2019
Reconstruction and Membership Inference Attacks against Generative
  Models
Reconstruction and Membership Inference Attacks against Generative ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2019
Benjamin Hilprecht
Martin Härterich
Daniel Bernau
AAMLMIACV
264
233
0
07 Jun 2019
Hypothesis Testing Interpretations and Renyi Differential Privacy
Hypothesis Testing Interpretations and Renyi Differential PrivacyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Borja Balle
Gilles Barthe
Marco Gaboardi
Justin Hsu
Tetsuya Sato
310
142
0
24 May 2019
Generating Synthetic but Plausible Healthcare Record Datasets
Generating Synthetic but Plausible Healthcare Record Datasets
L. Aviñó
M. Ruffini
Ricard Gavaldà
MedImSyDaOOD
218
41
0
04 Jul 2018
Data Synthesis based on Generative Adversarial Networks
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
747
586
0
09 Jun 2018
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
300
576
0
19 Feb 2018
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
8.3K
172,602
0
12 Jun 2017
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDaGAN
736
684
0
19 Mar 2017
Renyi Differential Privacy
Renyi Differential PrivacyIEEE Computer Security Foundations Symposium (CSF), 2017
Ilya Mironov
1.0K
1,461
0
24 Feb 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
1.0K
5,029
0
18 Oct 2016
Deep Learning with Differential Privacy
Deep Learning with Differential PrivacyConference on Computer and Communications Security (CCS), 2016
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
2.1K
7,480
0
01 Jul 2016
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword UnitsAnnual Meeting of the Association for Computational Linguistics (ACL), 2015
Rico Sennrich
Barry Haddow
Alexandra Birch
787
8,585
0
31 Aug 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
2.1K
9,612
0
12 Mar 2015
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