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SynGAN: Towards Generating Synthetic Network Attacks using GANs
SynGAN generates malicious packet flow mutations using real attack traffic, which can improve NIDS attack detection rates.
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning
We propose MQLV, Modified Q-Learner for the Vasicek model, a new reinforcement learning approach that determines the optimal policy of money management based on the aggregated financial transactions of the clients.
Visualization of AE's Training on Credit Card Transactions with Persistent Homology
PHom-WAE minimizes the Wasserstein distance between the true distribution and the reconstructed distribution and uses persistent homology, the study of the topological features of a space at different spatial resolutions, to compare the nature of the latent manifold and the reconstructed distribution.
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