1. Introduction

2. Background on DGMs

3. Threat Models for Attacking GANs and VAEs

4. GANs: Attacks Against Generators

5. GANs: Attacks Against Discriminators

6. VAEs: Attacks Against Decoders and Encoders

7. Datasets: Poisoning Attacks

8. Defense Methods

9. Outlook and Future Directions

10. Conclusion