Security and Deep Learning

In this talk, I will discuss recent advances and key questions and challenges at the intersection of Security and Deep Learning, including adversarial examples fooling deep learning systems, and how to achieve better generalization and provide provable guarantee of perfect generalization in certain domains such as neural programing architectures. I will also discuss a new project on AI for data science.

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