Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables.
Bojan KolosnjajiAmbra DemontisBattista BiggioDavide MaiorcaGiorgio GiacintoClaudia EckertFabio RoliPublished in: EUSIPCO (2018)
Keyphrases
- malware detection
- deep learning
- malicious executables
- source code
- unsupervised learning
- anomaly detection
- unsupervised feature learning
- machine learning
- mental models
- application programming interface
- reverse engineering
- weakly supervised
- control flow
- anti virus
- deep architectures
- high dimensional
- pattern recognition
- co occurrence
- multiscale