Mixed Strategy Game Model Against Data Poisoning Attacks

Ou, Yifan, Samavi, Reza

arXiv.org Machine Learning 

In this paper we use game theory to model poisoning attack scenarios. We prove the non-existence of pure strategy Nash Equilibrium in the attacker and defender game. We then propose a mixed extension of our game model and an algorithm to approximate the Nash Equilibrium strategy for the defender. We then demonstrate the effectiveness of the mixed defence strategy generated by the algorithm, in an experiment.

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