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Nitin Sharma

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Generating Adversarial Examples & Defense Methods For Online Fraud DetectionEighth Annual Industry Day2022-11-16
Claims that realistic adversarial examples for PayPal-style transaction fraud can be generated by combining ensemble adversarial perturbations (FGSM, L-BFGS…
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Adversarial Examples, Defense Methods for Online Fraud DetectionMLconf Online 20202020-11-05
Presents an ensemble adversarial generator that combines gradient methods (fast gradient sign and iterative), iterative optimization (Carlini Wagner)…
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Deep Learning Applications to Online Payment Fraud DetectionMLconf NYC 20192019-03-29
Speaker: Nitin Sharma Slides: https://www.slideshare.net/SessionsEvents/nitin-sharma-deep-learning-applications-to-online-payment-fraud-detection The talk…
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ICOs: Fundamentals, Best Practices & Risks50p 20182018-02-08
Initial Coin Offerings (ICOs) have exploded upon the startup scene, especially in the last 12 months. Numerous projects (often not even prototypes) have…
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