Detecting Similar ID Documents Using Deep Learning Burkay Gur - PowerPoint PPT Presentation

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Detecting Similar ID Documents Using Deep Learning Burkay Gur QCon.ai, Apr 2018 Our mission is to create an open financial system for the world Risk & Data What do we do? - Limit Coinbases exposure to risk - Fight Identity

Detecting Similar ID Documents Using Deep Learning Burkay Gur QCon.ai, Apr 2018
Our mission is to create an   open financial system   for the world
Risk & Data ● What do we do? - Limit Coinbase’s exposure to risk - Fight Identity Fraud
Attempt 1: Shazam
Attempt 1: Shazam ● Fingerprint for each document ● Perceptual Hashing (256 bit) ● Store hashes in a DB (Hamming distance)
Evaluation of Shazam Pros Cons ● Color differences ● Translations ● Minor cropping ● Large datasets ● Easy to implement ● Domain Specificity
Attempt 2: Vision
Attempt 2: Vision X {
Evaluation of Vision Pros Cons ● Cropping ● Domain Specificity ● Translation ● Iteration Speed ● Infra and Security imgcrypt
New Challenge: Iterate Fast in Highly Secure Environments
Coinbase ML Infrastructure imgcrypt + NostradamusCLI
Takeaways ● Start with naive approach and improve ● Iteration speed is top priority ● Watch out for adversarial attacks Contact: burkay.gur@coinbase.com

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