Questions

1. What are the components of generative adversarial networks?
2. What is the difference between a generator and a discriminator?
3. How can we make sure that the malware adversarial samples are still valid when we are generating them?
4. Do a bit of research, then briefly explain how to detect adversarial samples.
5. What distinguishes reinforcement learning from deep learning?
6. What is the difference between supervised and reinforcement learning?
7. How does an agent learn in reinforcement learning?