detecting similar id documents using deep learning
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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


  1. Detecting Similar ID Documents Using Deep Learning Burkay Gur QCon.ai, Apr 2018

  2. Our mission is to create an 
 open financial system 
 for the world

  3. Risk & Data ● What do we do? - Limit Coinbase’s exposure to risk - Fight Identity Fraud

  4. Attempt 1: Shazam

  5. Attempt 1: Shazam ● Fingerprint for each document ● Perceptual Hashing (256 bit) ● Store hashes in a DB (Hamming distance)

  6. Evaluation of Shazam Pros Cons ● Color differences ● Translations ● Minor cropping ● Large datasets ● Easy to implement ● Domain Specificity

  7. Attempt 2: Vision

  8. Attempt 2: Vision X {

  9. Evaluation of Vision Pros Cons ● Cropping ● Domain Specificity ● Translation ● Iteration Speed ● Infra and Security imgcrypt

  10. New Challenge: Iterate Fast in Highly Secure Environments

  11. Coinbase ML Infrastructure imgcrypt + NostradamusCLI

  12. 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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