101 citations · 106 across the 2 of their papers we have counts for
2 papers
cs.CR2019★ 5 cited
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection
Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
Machine learning (ML) used for static portable executable (PE) malware detection typically employs per-file numerical feature vector representations as input with one or more targe…
cs.CR2017★ 101 cited
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
Joshua Saxe, Konstantin Berlin
For years security machine learning research has promised to obviate the need for signature based detection by automatically learning to detect indicators of attack. Unfortunately,…