Improving detection of malicious samples by using state-of-the-art adversarial machine learning algorithms.
Ciprian-Alin SimionGheorghe BalanDragos Teodor GavrilutPublished in: SIN (2022)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning
- machine learning methods
- decision trees
- learning problems
- predictive accuracy
- detection algorithm
- data sets
- learning tasks
- random forests
- machine learning approaches
- machine learning systems
- machine learning models
- training samples
- standard machine learning algorithms
- input features
- learning models
- supervised learning algorithms
- general purpose
- anomaly detection
- learning systems
- detect malicious