Using deep learning to detect abusive sequences of member activity

Co-authors: James Verbus and Beibei Wang The Anti-Abuse AI Team at LinkedIn creates, deploys, and maintains models that detect and prevent many types of abuse, including the creation of fake accounts, member profile scraping, automated spam, and account takeovers. As we prevent abuse using machine learning, there are several challenges we can face: Maximizing signal: traditional features engineered by humans may not fully leverage the available signal in rich member activity patterns Adversarial...

Submit