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