Learning from Context: A Multi-view Deep Learning Architecture for Malware Detection
Machine learning (ML) used for static portable executable (PE) malware detection typically employs per-file numerical feature vector representations as input […]
Author Konstantin Berlin’s presentations
Describing Malware via Tagging
Although powerful for conviction of malicious artifacts, machine learning based detection do not generally produce further information about the type […]
Scalable Infrastructure for Malware Labeling and Analysis
One of the best-known secrets of machine learning (ML) is that the most reliable way to get more accurate models […]