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Adversarial Attacks for Tabular Data: Application to Fraud Detection and
  Imbalanced Data

Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data

20 January 2021
F. Cartella
Orlando Anunciação
Yuki Funabiki
D. Yamaguchi
Toru Akishita
Olivier Elshocht
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data"

13 / 13 papers shown
Title
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
Matan Ben-Tov
Daniel Deutch
Nave Frost
Mahmood Sharif
AAML
107
0
0
20 Jan 2025
Trustworthy Actionable Perturbations
Trustworthy Actionable Perturbations
Jesse Friedbaum
S. Adiga
Ravi Tandon
AAML
38
2
0
18 May 2024
Adversarial training for tabular data with attack propagation
Adversarial training for tabular data with attack propagation
Tiago Leon Melo
Joao Bravo
Marco O. P. Sampaio
Paolo Romano
Hugo Ferreira
João Tiago Ascensão
P. Bizarro
AAML
25
1
0
28 Jul 2023
Adversarial Learning in Real-World Fraud Detection: Challenges and
  Perspectives
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
Daniele Lunghi
A. Simitsis
O. Caelen
Gianluca Bontempi
AAML
FaML
38
4
0
03 Jul 2023
Towards Robustness of Text-to-SQL Models Against Natural and Realistic
  Adversarial Table Perturbation
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
Xinyu Pi
Bin Wang
Yan Gao
Jiaqi Guo
Zhoujun Li
Jian-Guang Lou
LMTD
30
30
0
20 Dec 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Prabhant Singh
Joaquin Vanschoren
OOD
21
3
0
01 Nov 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Meng Wei
Yong Zhou
Zhongnian Li
Xinzheng Xu
13
13
0
28 Sep 2022
Adversarial Robustness for Tabular Data through Cost and Utility
  Awareness
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Klim Kireev
B. Kulynych
Carmela Troncoso
AAML
23
16
0
27 Aug 2022
Bi-Discriminator Class-Conditional Tabular GAN
Bi-Discriminator Class-Conditional Tabular GAN
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
8
12
0
12 Nov 2021
Deep Neural Networks and Tabular Data: A Survey
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
27
645
0
05 Oct 2021
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack
Gilad Gressel
Niranjan Hegde
A. Sreekumar
Rishikumar Radhakrishnan
Kalyani Harikumar
Michael C. Darling
Krishnashree Achuthan
AAML
59
16
0
28 Jun 2021
Exploring Counterfactual Explanations Through the Lens of Adversarial
  Examples: A Theoretical and Empirical Analysis
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis
Martin Pawelczyk
Chirag Agarwal
Shalmali Joshi
Sohini Upadhyay
Himabindu Lakkaraju
AAML
11
51
0
18 Jun 2021
The Intriguing Relation Between Counterfactual Explanations and
  Adversarial Examples
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples
Timo Freiesleben
GAN
27
62
0
11 Sep 2020
1