Reviews: Nonzero-sum Adversarial Hypothesis Testing Games
–Neural Information Processing Systems
Summary of the model: A set of samples is either drawn from p or from some q chosen by an attacker from a set Q. The defended must look at the samples and decide which is the case. The attacker gets utility if the defender decides incorrectly, but pays some cost for drawing the samples that depends on the choice of q. Summary of results: Shows existence of a mixed-strategy Nash equilibrium. Leaves open existence of pure strategy, or natural conditions under which the equilibrium is pure (it seems to me this would be a very nice and likely result, given some strengthening of the assumptions). Shows that in equilibrium, error rates concentrate to zero as the number of samples n grows large.
Neural Information Processing Systems
Feb-5-2025, 08:22:05 GMT
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