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Adversarial Learning in Real-World Fraud Detection: Challenges and
  Perspectives

Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives

3 July 2023
Daniele Lunghi
A. Simitsis
O. Caelen
Gianluca Bontempi
    AAML
    FaML
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Papers citing "Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives"

1 / 1 papers shown
Title
Adversarial Attacks for Tabular Data: Application to Fraud Detection and
  Imbalanced Data
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
F. Cartella
Orlando Anunciação
Yuki Funabiki
D. Yamaguchi
Toru Akishita
Olivier Elshocht
AAML
61
71
0
20 Jan 2021
1