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.
Keywords
- Machine Learning: Adversarial Machine Learning
- Machine Learning: Ensemble Methods
- Agent-based and Multi-agent Systems: Algorithmic Game Theory
