Apr 14, 2023 · We propose a black-box attack-based security evaluation framework for CCFD models. Under this framework, the semisupervised learning technique and transfer- ...
To this end, we propose a black-box attack-based security evaluation framework for CCFD models. Under this framework, the semisupervised learning technique and ...
The security of credit card fraud detection (CCFD) models based on machine learning is important but rarely considered in the existing research.
1 To reduce the losses caused by credit card fraud and the costs of manual detection, machine learning models have been successfully applied to credit card ...
Oct 22, 2024 · To this end, we propose a black-box attack-based security evaluation framework for CCFD models. Under this framework, the semi-supervised ...
To this end, we propose a black-box attack-based security evaluation framework for CCFD models. Under this framework, the semi-supervised learning technique and ...
In this paper, for the first, we have analyzed the vulnerability of several traditional machine learning classifiers trained on financial tabular databases. To ...
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Which technique is used for credit card fraud detection?
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We study dif- ferent threat models characterized by attackers with different degrees of knowledge: Black-Box, with zero knowledge of the target system; Gray-Box ...
In this paper, we present a systematic study to train GANs for synthetic fraud generation, demonstrating improved classifier performance detecting fraud.
Feb 28, 2024 · Building an ML model for credit card fraud detection involves data preprocessing, managing class imbalances, training with neural networks, ...
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