Building Intuition into Adversarial Examples in Deep Learning

In recent years, deep neural networks have found wide ranging applications in the general field of AI. However, it has been shown that deep learning suffers from Adversarial Examples which have puzzled AI scientists. For acceptance of deep learning based AI solutions, it is important to understand this intriguing phenomenon and to eliminate it. Furthermore, there has been debate in social media about urgent need to bring rigor to the field of deep learning. Inspired by that, in this talk, we present novel results which explain adversarial examples in Computer Vision and which also pave way for future progress in AI.

Speaker: Dr. Simant Dube, AI Winning Solutions

Wednesday, 02/07/18

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$5 General, Free for IEEE members

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