1 INTRODUCTION

2 VULNERABILITIES OF DEEP NEURAL NETWORKS: BACKGROUND AND TAXONOMY

3 A UNIFIED VISION FOR INTENTIONAL AND UNINTENTIONAL PERTURBATION

4 DETECTION OF INTENTIONAL PERTURBATION

5 DETECTION OF OOD SAMPLES

6 WHY ARE INTENTIONAL AND UNINTENTIONAL PERTURBATION CONNECTED?

7 SUMMARY OF EXISTING RESEARCH CHALLENGES IN PERTURBATION DETECTION

8 CONCLUSIONS AND CALL TO ACTION