ADAEN: Adaptive Diffusion Adversarial Evolutionary Network for Unsupervised Anomaly Detection in Tabular Data

Existing unsupervised anomaly detection methods suffer from insufficient parameter precision, poor robustness to noise, and limited generalization capability. To address these issues, this paper proposes an Adaptive Diffusion Adversarial Evolutionary Network (ADAEN) for unsupervised anomaly detectio...

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Detalhes bibliográficos

Principais autores:	Yong Lu, Sen Wang, Lingjun Kong, Wenju Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-01-01
Colecção:	Applied System Innovation
Assuntos:	unsupervised anomaly detection adversarial networks diffusion model Wasserstein distance tabular data transformer encoder
Acesso em linha:	https://www.mdpi.com/2571-5577/9/2/36
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