1 Introduction
2 What are anomalies?
3 What are novelties?
4 Motivation and Challenges: Deep anomaly detection (DAD) techniques
5 Related Work
6 Our Contributions
7 Organization
8 Different aspects of deep learning-based anomaly detection
9 Applications of Deep Anomaly Detection
10 Deep Anomaly Detection (DAD) Models
11 Deep neural network architectures for locating anomalies
12 Relative Strengths and Weakness: Deep Anomaly Detection Methods
13 Conclusion