Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection.

Ciprian-Alin Simion Gheorghe Balan Dragos Teodor Gavrilut

Published in: IDEAL (2022)

Keyphrases

machine learning models
malware detection
spam filtering
classification accuracy
machine learning algorithms
prediction accuracy
machine learning approaches
malicious executables
decision trees
artificial neural networks
generative model
anomaly detection