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2101.08030
Cited By
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
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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
Matan Ben-Tov
Daniel Deutch
Nave Frost
Mahmood Sharif
AAML
107
0
0
20 Jan 2025
Trustworthy Actionable Perturbations
Jesse Friedbaum
S. Adiga
Ravi Tandon
AAML
38
2
0
18 May 2024
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
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
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
Prabhant Singh
Joaquin Vanschoren
OOD
21
3
0
01 Nov 2022
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
Klim Kireev
B. Kulynych
Carmela Troncoso
AAML
23
16
0
27 Aug 2022
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
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
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
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
Timo Freiesleben
GAN
27
62
0
11 Sep 2020
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