1st Deep Learning and Security (DLS)
This workshop is aimed at academic and industrial researchers interested in the application of deep learning methods to computer security problems. Some of the key research questions of interest will include the following: What are the strengths and shortcomings of current learning methods for representing and/or detecting security threats? Can deep learning methods be successfully applied to security applications? Can deep learning help to develop more efficient malware analysis by building a more accurate representation of program behaviors? What are the challenges involved, and will the use of deep learning methods significantly improve over previous results? Can deep learning methods better cope with problems related to learning in adversarial environments? What are the big, open problems in threat representation, especially for the detection of malicious software? How can generative models improve our understanding and detection of threats?