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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Ting-Fang Yen

Ting-Fang Yen
Director, Research, DataVisor

Ting-Fang Yen is director of research at DataVisor, the leading fraud, crime, and abuse detection solution utilizing unsupervised machine learning to detect fraudulent and malicious activity such as fake account registrations, fraudulent transactions, spam, account takeovers, and more. She has over 10 years of experience in applying big data analytics and machine learning to tackle problems in cybersecurity. Ting-Fang holds a PhD in electrical and computer engineering from Carnegie Mellon University.

Sessions

1:45pm-2:25pm Friday, September 7, 2018
Implementing AI, Models and Methods
Location: Continental 1-3
Secondary topics:  Deep Learning models, Temporal data and time-series
Ting-Fang Yen (DataVisor)
Average rating: ****.
(4.00, 1 rating)
Online fraud is often orchestrated by organized crime rings, who use malicious user accounts to actively target modern online services for financial gain. Ting-Fang Yen shares a real-time, scalable fraud detection solution backed by deep learning and built on Spark and TensorFlow and demonstrates how the system outperforms traditional solutions such as blacklists and machine learning. Read more.