Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security 2018

Lemna: Explaining deep learning based security applications

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security 2018 nitishabharathi/LEMNA

The local interpretable modelis specially designed to (1) handle feature dependency to betterwork with security applications (e. g., binary code analysis); and(2) handle nonlinear local boundaries to boost explanation delity. We evaluate our system using two popular deep learning applica-tions in security (a malware classier, and a function start detectorfor binary reverse-engineering).