Open access
Jul 2026
Adversarial Robustness of Machine Learning-based Fraud Detection Systems: An Empirical Evaluation of Attack Impact and Mitigation in Fintech Environments
The findings support the adoption of adversarial training for gradient-based fraud detection models and suggest that robustness claims should be accompanied by disclosure of the attack methodology used to establish them.
Ololade Zainab Adesokan, Abiola Omolola Bamsa, O. Obioha-Val et al.
· Journal of Engineering Resea... · 0 citations