1 code implementation • Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security 2018 • Wenbo Guo, Dongliang Mu5, Jun Xu4, Purui Su6, Gang Wang3, Xinyu Xing
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 classier, and a function start detectorfor binary reverse-engineering).
