I. Introduction  
II. Related Work  
III. Background on Large Language Models (LLMs)  
IV. Scope, Methodology, and Overview  
V. Privacy Leakage and Privacy Attacks in LLMs  
VI. Privacy Protection in Pre-Training and Fine-Tuning  
VII. Privacy Protection in Inference  
VIII. Challenges and Future Directions  
IX. Conclusion