secml-malware: A Python Library for Adversarial Robustness Evaluation of Windows Malware Classifiers.
Luca DemetrioBattista BiggioPublished in: CoRR (2021)
Keyphrases
- reverse engineering
- malware detection
- detect malicious
- support vector
- malicious code
- feature selection
- naive bayes
- programming language
- training data
- decision trees
- machine learning
- intrusion detection
- neural network
- machine learning methods
- classification accuracy
- supervised classification
- evaluation model
- control flow