ROBUST VON NEUMANN ENSEMBLES FOR DEEP LEARNING

摘要

Computer-implemented systems and methods build and train an ensemble of machine learning systems to be robust against adversarial attacks by employing a probabilistic mixed strategy with the property that, even if the adversary knows the architecture and parameters of the machine learning system, any adversarial attack has an arbitrarily low probability of success.