Lecture - Theories of Deep Learning MT25, XIV, Generative adversarial networks
- Adversarial examples are transferable across nets
- Nets for the same task learn the same function, so this is not super surprising
- Cool visualisations of the decision regions for deep nets
- Provable defence: design the models to guarantee