A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Recent applications of game theory in security domains use algorithms to solve a Stackelberg model, in which one player (the leader) first commits to a mixed strategy and then th...
Abstract. Security protocols aim at securing communications over public networks. Their design is notoriously difficult and error-prone. Formal methods have shown their usefulness ...
This paper presents a new challenge—verifying that a remote server is storing a file in a fault-tolerant manner, i.e., such that it can survive hard-drive failures. We describe...
Kevin D. Bowers, Marten van Dijk, Ari Juels, Alina...