1 INTRODUCTION

2 THE NEED FOR EXPLAINABLE ANOMALY DETECTION

3 A TAXONOMY OF EXPLAINABLE ANOMALY DETECTION METHODS

4 LITERATURE REVIEW ON PRE-MODEL TECHNIQUES

5 LITERATURE REVIEW ON IN-MODEL TECHNIQUES

6 LITERATURE REVIEW ON SHALLOW POST-MODEL TECHNIQUES

7 LITERATURE REVIEW ON DEEP POST-MODEL TECHNIQUES

8 CONCLUSION AND FUTURE OPPORTUNITIES