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At Onfido, they apply computer vision and machine learning techniques to the detection of physical and digital fraud in identity documents.
When it comes to fraud detection, they’re often dealing with a problem for which they have hugely unbalanced datasets. Moreover, they only understand what they've seen before; if they notice something different, how do they know if it’s really fraudulent, and how confident can they be with that decision?
Join Jacques for this lightning talk as he explores the problem of fraud detection, highlight some of the biggest challenges that they face in this area and cover some of Onfido's efforts to circumvent these challenges, touching on topics of anomaly detection and data generation.
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