Summary

This chapter has provided you with the barest of overviews of deepfakes and the technologies used to create them: autoencoders and GANs. What you should take away from this chapter is the knowledge that these technologies are simply tools that someone can use for good or evil intent. From a security perspective, using deepfakes can help harden your surveillance technologies and help you implement better facial recognition strategies. Of course, you also have to be wary of hackers who modify your models, damage your data, or try to sway the output of your models in a way that is beneficial to them using other methods.

Chapter 11 is going to move further into the security realm of GANs by looking at ways in which they are used by hackers to gain entry into your systems or by you to thwart hacker advances. The fact that GANs can learn from each experience means that the wall-building security strategies of the past have taken on a new aspect. The machines are not merely hosts...