Fair and Privacy-preserving Synthetic Data Generation via Clustering-based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-09-15
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fair and Privacy-preserving Synthetic Data Generation via Clustering-based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty

SPIRE - Sciences Po Institutional REpository
Generative Adversarial Networks and Image Synthesis
article

Fair and Privacy-preserving Synthetic Data Generation via Clustering-based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Données et algorithmes pour une ville intelligente et durable (FR)
Agence Nationale de la Recherche
Peace, Justice and strong institutions
Openalex Percentile: Top 47%
Generative Adversarial Networks and Image Synthesis
Open Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fair and Privacy-preserving Synthetic Data Generation via Clustering-based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS