Position Paper: Towards a Repeated Bayesian Stackelberg Game Model for Robustness Against Adversarial Learning

Dasgupta, Prithviraj (University of Nebraska at Omaha) | Collins, Joseph (Naval Research Laboratory)

AAAI Conferences 

In this position paper, we propose a game theoretic formulation of the adversarial learning problem called a RepeatedBayesian Stackelberg Game (RBSG) that can be used by aprediction mechanism to make itself robust against adversarial examples.

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