PATE-TabTransGAN: Differentially Private Synthetic Tabular Data Generation via Transformer-Based Student Discrimination
Fuente:
arXiv
Saved in:
| Main Authors: | Youssef, M., Woźniak, M. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generation
by: Ågren, Wilhelm, et al.
Published: (2024)
by: Ågren, Wilhelm, et al.
Published: (2024)
DP-TabICL: In-Context Learning with Differentially Private Tabular Data
by: Carey, Alycia N., et al.
Published: (2024)
by: Carey, Alycia N., et al.
Published: (2024)
PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
by: Jiang, Zepeng, et al.
Published: (2024)
by: Jiang, Zepeng, et al.
Published: (2024)
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
by: Ganev, Georgi, et al.
Published: (2024)
by: Ganev, Georgi, et al.
Published: (2024)
TabPFGen -- Tabular Data Generation with TabPFN
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation
by: Mahiou, Sofiane, et al.
Published: (2025)
by: Mahiou, Sofiane, et al.
Published: (2025)
TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
by: Swanberg, Marika, et al.
Published: (2025)
by: Swanberg, Marika, et al.
Published: (2025)
Differentially Private Synthetic High-dimensional Tabular Stream
by: Kumar, Girish, et al.
Published: (2024)
by: Kumar, Girish, et al.
Published: (2024)
Hot PATE: Private Aggregation of Distributions for Diverse Task
by: Cohen, Edith, et al.
Published: (2023)
by: Cohen, Edith, et al.
Published: (2023)
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
by: Leng, Yunze, et al.
Published: (2025)
by: Leng, Yunze, et al.
Published: (2025)
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
by: Chundawat, Vikram S, et al.
Published: (2022)
by: Chundawat, Vikram S, et al.
Published: (2022)
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation
by: Sattarov, Timur, et al.
Published: (2024)
by: Sattarov, Timur, et al.
Published: (2024)
TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates
by: Alishahi, Meysam, et al.
Published: (2026)
by: Alishahi, Meysam, et al.
Published: (2026)
PATE: Proximity-Aware Time series anomaly Evaluation
by: Ghorbani, Ramin, et al.
Published: (2024)
by: Ghorbani, Ramin, et al.
Published: (2024)
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?
by: Perez, Ileana Montoya, et al.
Published: (2024)
by: Perez, Ileana Montoya, et al.
Published: (2024)
Differentially Private Synthetic Data Generation for Relational Databases
by: Alimohammadi, Kaveh, et al.
Published: (2024)
by: Alimohammadi, Kaveh, et al.
Published: (2024)
Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees
by: Lin, Shurong, et al.
Published: (2025)
by: Lin, Shurong, et al.
Published: (2025)
TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
by: Gao, Weihao, et al.
Published: (2024)
by: Gao, Weihao, et al.
Published: (2024)
Online Differentially Private Synthetic Data Generation
by: He, Yiyun, et al.
Published: (2024)
by: He, Yiyun, et al.
Published: (2024)
TabSCM: A practical Framework for Generating Realistic Tabular Data
by: Jacob, Sven, et al.
Published: (2026)
by: Jacob, Sven, et al.
Published: (2026)
Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN
by: Sidorenko, Andrey, et al.
Published: (2025)
by: Sidorenko, Andrey, et al.
Published: (2025)
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation
by: Li, Jiayu, et al.
Published: (2024)
by: Li, Jiayu, et al.
Published: (2024)
LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
A Conditional GAN for Tabular Data Generation with Probabilistic Sampling of Latent Subspaces
by: Akritidis, Leonidas, et al.
Published: (2025)
by: Akritidis, Leonidas, et al.
Published: (2025)
TabDDPM: Modelling Tabular Data with Diffusion Models
by: Kotelnikov, Akim, et al.
Published: (2022)
by: Kotelnikov, Akim, et al.
Published: (2022)
TabStruct: Measuring Structural Fidelity of Tabular Data
by: Jiang, Xiangjian, et al.
Published: (2025)
by: Jiang, Xiangjian, et al.
Published: (2025)
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
by: Shi, Juntong, et al.
Published: (2024)
by: Shi, Juntong, et al.
Published: (2024)
TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling
by: Carballo, Kimberly Villalobos, et al.
Published: (2022)
by: Carballo, Kimberly Villalobos, et al.
Published: (2022)
VisTabNet: Adapting Vision Transformers for Tabular Data
by: Wydmański, Witold, et al.
Published: (2024)
by: Wydmański, Witold, et al.
Published: (2024)
ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning
by: Lin, Xiaofeng, et al.
Published: (2026)
by: Lin, Xiaofeng, et al.
Published: (2026)
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
by: Villaizán-Vallelado, Mario, et al.
Published: (2024)
by: Villaizán-Vallelado, Mario, et al.
Published: (2024)
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
by: D'souza, Annie, et al.
Published: (2024)
by: D'souza, Annie, et al.
Published: (2024)
A Comprehensive Survey of Synthetic Tabular Data Generation
by: Shi, Ruxue, et al.
Published: (2025)
by: Shi, Ruxue, et al.
Published: (2025)
QTabGAN: A Hybrid Quantum-Classical GAN for Tabular Data Synthesis
by: Kumari, Subhangi, et al.
Published: (2026)
by: Kumari, Subhangi, et al.
Published: (2026)
Differentially Private Knowledge Distillation via Synthetic Text Generation
by: Flemings, James, et al.
Published: (2024)
by: Flemings, James, et al.
Published: (2024)
TabImpute: Universal Zero-Shot Imputation for Tabular Data
by: Feitelberg, Jacob, et al.
Published: (2025)
by: Feitelberg, Jacob, et al.
Published: (2025)
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)
by: Arazi, Alan, et al.
Published: (2025)
CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data
by: Sumon, Md. Shaheenur Islam, et al.
Published: (2025)
by: Sumon, Md. Shaheenur Islam, et al.
Published: (2025)
Differentially Private Tabular Data Synthesis using Large Language Models
by: Tran, Toan V., et al.
Published: (2024)
by: Tran, Toan V., et al.
Published: (2024)
Similar Items
-
Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generation
by: Ågren, Wilhelm, et al.
Published: (2024) -
DP-TabICL: In-Context Learning with Differentially Private Tabular Data
by: Carey, Alycia N., et al.
Published: (2024) -
PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
by: Jiang, Zepeng, et al.
Published: (2024) -
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
by: Ganev, Georgi, et al.
Published: (2024) -
TabPFGen -- Tabular Data Generation with TabPFN
by: Ma, Junwei, et al.
Published: (2024)