Sep 9–12, 2019
Ting-Fang Yen

Ting-Fang Yen
Director of Research, DataVisor

Ting-Fang Yen is the director of research at DataVisor, the leading fraud, crime, and abuse-detection solution using 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

4:00pm4:40pm Thursday, September 12, 2019
Location: Expo Hall 3
Secondary topics:  Machine Learning, Temporal data and time-series
Ting-Fang Yen (DataVisor)
Ting-Fang Yen details a monitor for production machine learning systems that handle billions of requests daily. The approach discovers detection anomalies, such as spurious false positives, as well as gradual concept drifts when the model no longer captures the target concept. See new tools for detecting undesirable model behaviors early in large-scale online ML systems. Read more.

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