csvl's repositories
SEMA
SEMA is based on angr, a symbolic execution engine used to extract API calls. Especially, we extend ANGR with strategies to create representative signatures based on System Call Dependency graph (SCDG). Those SCDGs can be exploited in machine learning modules to do classification/detection.
TFE_Malware_Visualization_and_Classification
This master thesis is interested in malware visualizations and classification using CNN