Abstract
We aim to improve the general adversarial machine
learning solution by introducing the double oracle
idea from game theory, which is commonly used to
solve a sequential zero-sum game, where the adversarial machine learning problem can be formulated
as a zero-sum minimax problem between learner
and attacker.