Adversarial training for tabular data with attack propagation

Adversarial attacks are a major concern in security-centered applications, where malicious actors continuously try to mislead Machine Learning (ML) models into wrongly classifying fraudulent activity as legitimate, whereas system maintainers try to stop them. Adversarially training ML models that ar...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Tiago Leon Melo, Bravo, João, Sampaio, Marco O P, Romano, Paolo, Ferreira, Hugo, Ascensão, João Tiago, Bizarro, Pedro
Format:	Artikel
Sprache:	eng
Schlagworte:	Fraud Machine learning Tables (data) Training
Online-Zugang:	Volltext
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