SYSTEMS AND METHODS INVOLVING DETECTION OF COMPROMISED DEVICES THROUGH COMPARISON OF MACHINE LEARNING MODELS

摘要

A detection of compromised devices through comparison of machine learning models is provided, according to certain aspects, by a data-aggregation circuit, and a computer server. The data-aggregation circuit is used to assimilate respective sets of output data from at least one of a plurality of circuits to create a new data set, the respective sets of output data being related in that each set of output data is in response to a common data set processed by the machine learning circuitry in the at least one of the plurality of circuits. The computer server uses the new data set to indicate whether one of the machine-learning circuitries may be compromised.