Discussion on: Adversarial Robustness of Machine Learning-based Fraud Detection Systems: An Empirical Evaluation of Attack Impact and Mitigation in Fintech Environments

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Article Title
Adversarial Robustness of Machine Learning-based Fraud Detection Systems: An Empirical Evaluation of Attack Impact and Mitigation in Fintech Environments
Authored by

Ololade Zainab Adesokan
Institution and Address American National University, Salem VA 1813 E Main St, Salem, VA 24153, United States of America.

Abiola Omolola Bamsa
University of the Cumberlands, 104 Maple Drive, Williamsburg, KY 40769, United States of America.

Onyinye Agatha Obioha-Val
University of the Cumberlands, 104 Maple Drive, Williamsburg, KY 40769, United States of America.

Cornelia Ifeoma Ejoh
University of the District of Columbia, 4200 Connecticut Ave NW, Washington, DC 20008, United States of America.

Moses Abuobelye Akeke
Madonna University Nigeria, PMB 05 Elele, Rivers State, Nigeria.

DOI or Article Link

https://doi.org/10.9734/jerr/2026/v28i71957

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