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repeated bayesian stackelberg game model

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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 ConferencesOct-31-2017

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.

machine learning, reinforcement learning, repeated bayesian stackelberg game model, (5 more...)

AAAI Conferences

2017 AAAI Fall Symposium Series

Technology:

Information Technology > Game Theory (1.00)
Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.60)

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