1 Introduction
1.1 Stackelberg paradigm and SSG
1.2 The poaching setting

2 Using human behavior models in solving SSGs
2.1 SUQR: modeling a boundedly rational attacker
2.2 From MATCH to SHARP
2.3 Learning adversary models from three defender's strategies

3 Determining attacker's payoffs exploiting regret-based solutions

4 Online learning
4.1 Handling exploration-exploitation tradeoffs in Security Games
4.2 Online planning for optimal protector strategies in resource conservation games