A prototype attention classifier used as a VAE-GAN encoder head improves latent cluster separation and downstream fraud detection metrics, though the reported gains are not statistically robust.
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
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Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling
A prototype attention classifier used as a VAE-GAN encoder head improves latent cluster separation and downstream fraud detection metrics, though the reported gains are not statistically robust.