This week, the IPPD lecture was a team-wide work session. Banary spent three hours in NSC507 working together and exploring datasets and models. Our current approach is to fit an RNN on the executable’s assembly code, which can be decompiled from its binary. We are looking to reuse a publicly available model and build our product from it. After obtaining insights on the model’s architecture and data processing method, we will fit our own data into the model and measure its performance. While we have encountered some roadblocks, we will overcome it by seeking the help of our coach and liaisons. Meanwhile, we have kept eyes on alternative models, ready to switch paths if our current one does not work out.