I. Introduction  
II. Related Work  
III. Applications of Machine Learning in Network Security  
IV. Adversarial Machine Learning  
V. Adversarial Attack Classification  
VI. Evaluating Adversarial Risk  
VII. Defending Against Adversarial Attacks  
VIII. Discussion and Lessons Learned  
IX. Conclusion and Future Work