340 citations · 516 across the 6 of their papers we have counts for
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cs.LG2021★ 12 cited
Improving the quality of generative models through Smirnov transformation
Ángel González-Prieto, Alberto Mozo, Sandra Gómez-Canaval +1
Solving the convergence issues of Generative Adversarial Networks (GANs) is one of the most outstanding problems in generative models. In this work, we propose a novel activation f…
cs.CR2021★ 32 cited
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
Alberto Mozo, Ángel González-Prieto, Antonio Pastor +2
Due to the growing rise of cyber attacks in the Internet, flow-based data sets are crucial to increase the performance of the Machine Learning (ML) components that run in network-b…