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hello everyone I am Salman Sultana today I and my coworker Li Chen who representing our work on malar detection using a deep learning on control-flow malar detection is an increasingly difficult problem in the recent years malar ecosystem is changing rapidly in this context deep learning shows great promise for automated malar analyzes however deep learning based mallow detection is still in early phase there are static analysis apertures that classifies a binary as benign or malicious based on file header our raw byte analyzes this approaches face challenges due to code obfuscation and adversely perturbations and there are dynamic analysis approaches profile RAM time API call sequences over an execution internal runtime data is more difficult to portray but recent research has shown there an attacker can mislead the classifier and achieve high miss classification rate so the question remains how can we make deep learning based malar detection more robust in this work we will focus on
