Contents
1 Introduction
1.1 Our Focus
2 Preliminaries: AI-generated Text Detection
3 Theoretical Insights of AI-Generated Text Detection
4 Towards the Possibilities of AI-generated Text Detection
4.1 Prepared Detectors
4.2 Post-hoc Detectors
5 Towards the Impossibilities of AI-generated Text Detection
5.1 Paraphrasing Based Attacks
5.2 Generative Attacks
5.3 Copy-Paste Attacks
5.4 Spoofing Attacks
6 Open Questions
6.1 Regulating Large Language Model Watermarks
6.2 Accurate Evaluation of Detectors
6.3 Conditions for AI-generated text Detection
6.4 Improving the Fairness of Text Detectors
6.5 Improving the Robustness of Text Detectors
6.6 Discuss About the Different Detection Scenarios in Practice
6.7 Can We Leverage Our Knowledge of Input Prompts for Better Detection?
6.8 Is Semantic Watermarking Possible?
7 Conclusions