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Synthetic Data Generation for Fraud Detection using GANs

Synthetic Data Generation for Fraud Detection using GANs

26 September 2021
C. Charitou
S. Dragicevic
Artur Garcez
ArXiv (abs)PDFHTML

Papers citing "Synthetic Data Generation for Fraud Detection using GANs"

14 / 14 papers shown
Title
Utility Theory of Synthetic Data Generation
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
164
5
0
17 May 2023
Conditional Wasserstein GAN-based Oversampling of Tabular Data for
  Imbalanced Learning
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
Justin Engelmann
Stefan Lessmann
62
231
0
20 Aug 2020
Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image Generation
Mengyao Zhai
Lei Chen
Frederick Tung
Jiawei He
Megha Nawhal
Greg Mori
CLL
89
183
0
23 Jul 2019
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
121
1,262
0
01 Jul 2019
Data Augmentation Using GANs
Data Augmentation Using GANs
Fabio Tanaka
Claus Aranha
52
202
0
19 Apr 2019
AttnGAN: Fine-Grained Text to Image Generation with Attentional
  Generative Adversarial Networks
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu
Pengchuan Zhang
Qiuyuan Huang
Han Zhang
Zhe Gan
Xiaolei Huang
Xiaodong He
GANViT
118
1,722
0
28 Nov 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
128
3,064
0
19 Oct 2017
On the Limitations of First-Order Approximation in GAN Dynamics
On the Limitations of First-Order Approximation in GAN Dynamics
Jerry Li
Aleksander Madry
John Peebles
Ludwig Schmidt
71
55
0
29 Jun 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
179
4,829
0
26 Jan 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
486
9,073
0
10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
275
14,027
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
264
10,429
0
06 Nov 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
388
25,691
0
09 Jun 2011
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