1 Introduction

2 Open-Data Contamination Detection
2.1 String Matching
2.2 Embeddings Similarity
2.3 Model-Based Open-Data Contamination Detection

3 Closed-Data Contamination Detection
3.1 Performance Analysis
3.2 Model Memorization
3.3 Model Confidence
3.4 Model-Based Closed-Data Contamination Detection

4 Discussion
4.1 Best Practices
4.2 New Evaluation Benchmarks
4.3 Future Challenges

5 The LLM Sanitize Library

6 Conclusion