"Adversarial Attacks for Tabular Data: Application to Fraud Detection and ..."

Francesco Cartella et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-01-23

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2101-08030
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-08030
Francesco Cartella, Orlando Anunciação, Yuki Funabiki, Daisuke Yamaguchi, Toru Akishita, Olivier Elshocht:
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data. CoRR abs/2101.08030 (2021)

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