In anticipation of their upcoming conference keynote co-presentation, Realtime Malware Detection with CNNs and LSTMs, at Deep Learning World in Las Vegas, June 3-7, 2018, we asked Domenic Puzio and Kate Highnam, Machine Learning Engineers at Capital One, a few questions about their work in deep learning. Q: In your work with deep learning, what do you model (i.e., what is the dependent variable, the behavior or outcome your models predict)? A: Our research uses deep learning to model malware behavior. In particular, we look at domain names and predict if they are likely to be utilized by malware, allowing
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