Bank of America Corporation
SYSTEM AND METHODS FOR DETECTION OF ADVERSARIAL TARGETING USING MACHINE LEARNING

Abstract:

A system for adversarial targeting detection and prevention is provided the system generally comprising deploying a population of machine learning models configured to monitor interaction data between one or more users and one or more external entities, receive profile data for the one or more users and store the profile data in a historical database, monitor the interaction data between the one or more users and the one or more external entities via the deployed machine learning modules, store the interaction data transmitted between the one or more users and the one or more external entities, analyze the interaction data and the profile data to identify a pattern of treatment by the one or more external entities, identify an adversarial targeting scheme based on the pattern of treatment, and alter user profile characteristics for the one or more users in response to the identified adversarial targeting scheme.