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Deep Learning Applied to Fraud Detection: Ting-Fang Presents at GHC18

By Ting Fang Yen September 25, 2018

Photo of Ting Fang Yen

about Ting Fang Yen
Director of Research // Ting-Fang specializes in network and information security data analysis and fraud detection in the financial social and eCommerce industries. She holds a PhD in Electrical and Computer Engineering from Carnegie Mellon and has previously worked for E8, RSA, and Microsoft.

Deep Learning has been applied to image recognition and natural language processing, but can it work for fraud detection? At the 2018 Grace Hopper Celebration, DataVisor’s Director of Research Ting-Fang Yen explores DataVisor’s novel approach to applying Deep Learning to detect new and previously undetected fraud. She describes DataVisor’s design and implementation of a Deep Learning pipeline based on Spark and Tensor Flow that can be hosted on multiple clouds in demanding, real-time production environments.

Join Ting-Fang at 4:05PM on Thursday September 27th, 2018 at GHC18


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