Knowing Your Adversary: How Alibaba is Training Smarter Online Fraud Detectors

Cracking the Black Box

ML fraud detection systems rely on classifiers to filter content, treating some spammer instances as high-confidence and others as low-confidence instances depending on the probability they have been correctly flagged. A classifier becomes vulnerable to attack when a high number of spammer instances falls into its low-confidence regions, as even small changes to such evasion-prone (EP) samples on the part of spammers could lead to their misclassification as legitimate content.

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Alibaba Tech

Alibaba Tech

5.3K Followers

First-hand & in-depth information about Alibaba's tech innovation in Artificial Intelligence, Big Data & Computer Engineering. Follow us on Facebook!