Crafting imperceptible on-manifold adversarial attacks for tabular data

Adversarial attacks on tabular data present unique challenges due to the heterogeneous nature of mixed categorical and numerical features. Unlike images where pixel perturbations maintain visual similarity, tabular data lacks intuitive similarity metrics, making it difficult to define imperceptible...

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Bibliographic Details

Published in:	Applied soft computing Vol. 186; p. 114286
Main Authors:	He, Zhipeng, Stevens, Alexander, Ouyang, Chun, De Smedt, Johannes, Barros, Alistair, Moreira, Catarina
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2026
Subjects:	Adversarial attack Robustness Tabular data Variational autoencoder Variational autoencoder Robustness Adversarial attack Tabular data
ISSN:	1568-4946
Online Access:	Get full text
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