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One-Class Adversarial Nets for Fraud Detection

One-Class Adversarial Nets for Fraud Detection

5 March 2018
Panpan Zheng
Shuhan Yuan
Xintao Wu
Jun Yu Li
Aidong Lu
ArXivPDFHTML

Papers citing "One-Class Adversarial Nets for Fraud Detection"

16 / 16 papers shown
Title
Anomaly Detection in Graph Structured Data: A Survey
Anomaly Detection in Graph Structured Data: A Survey
Prabin B. Lamichhane
William Eberle
41
3
0
10 May 2024
Generative Semi-supervised Graph Anomaly Detection
Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao
Qingsong Wen
Xiaoli Li
Ee-Peng Lim
Guansong Pang
42
7
0
19 Feb 2024
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate
  Anomaly Detection
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
27
3
0
25 May 2023
Fraud Analytics: A Decade of Research -- Organizing Challenges and
  Solutions in the Field
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
Christopher Bockel-Rickermann
Tim Verdonck
Wouter Verbeke
30
12
0
07 Dec 2022
Credit card fraud detection - Classifier selection strategy
Credit card fraud detection - Classifier selection strategy
Gayan K. Kulatilleke
9
2
0
25 Aug 2022
Challenges and Complexities in Machine Learning based Credit Card Fraud
  Detection
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection
Gayan K. Kulatilleke
11
15
0
20 Aug 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
21
34
0
09 Mar 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Rongrong Ma
Guansong Pang
Ling-Hao Chen
Anton Van Den Hengel
29
91
0
19 Dec 2021
Modelling and simulating spatial extremes by combining extreme value
  theory with generative adversarial networks
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Younes Boulaguiem
Jakob Zscheischler
Edoardo Vignotto
K. Wiel
Sebastian Engelke
15
3
0
30 Oct 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
37
538
0
14 Jun 2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced
  Problem
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
Lun Jiang
N. S. Sadghiani
Zhuo Tao
Andrew Cohen
19
0
0
07 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection
Elsa: Energy-based learning for semi-supervised anomaly detection
Sungwon Han
Hyeonho Song
Seungeon Lee
Sungwon Park
M. Cha
32
12
0
29 Mar 2021
Deep Learning for Insider Threat Detection: Review, Challenges and
  Opportunities
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan
Xintao Wu
AAML
20
156
0
25 May 2020
Using generative adversarial networks to synthesize artificial financial
  datasets
Using generative adversarial networks to synthesize artificial financial datasets
Dmitry Efimov
Di Xu
Luyang Kong
A. Nefedov
Archana Anandakrishnan
GAN
12
28
0
06 Feb 2020
False Information on Web and Social Media: A Survey
False Information on Web and Social Media: A Survey
Srijan Kumar
Neil Shah
134
346
0
23 Apr 2018
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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