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On the Performance of Generative Adversarial Network by Limiting Mode Collapse for Malware Detection Systems
Generative adversarial network (GAN) has been regarded as a promising solution to many machine learning problems, and it comprises of a generator and discriminator, determining patterns and anomalies in the input data. However, GANs have several common failure modes. Typically, a mode collapse occur...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749644/ https://www.ncbi.nlm.nih.gov/pubmed/35009810 http://dx.doi.org/10.3390/s22010264 |