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MISLEAD: Manipulating Importance of Selected features for Learning
  Epsilon in Evasion Attack Deception

MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception

24 April 2024
Vidit Khazanchi
Pavan Kulkarni
Yuvaraj Govindarajulu
Manojkumar Somabhai Parmar
    AAML
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Papers citing "MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception"

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