Deep learning has made huge advances and impact in many areas of computer science such as vision, speech, NLP, and robotics. Many exciting research questions lie in the intersection of security and deep learning.

First, how will these deep learning systems behave in the presence of adversaries? Research has shown that many of the state-of-the-art deep learning systems can be easily fooled by adversarial examples. We will explore fundamental questions in this area including what types of attacks are possible on deep learning systems, why they exist, and how we can defend against them.

Second, how can deep learning techniques help security applications? We will explore this area and study example security applications using deep learning techniques including program binary analysis, password security analysis, malware detection and fraud detection

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Speakers and instructors

To be determined.


To be determined.