Adversarial Explanations
Walt and Kyle discuss the concept of adversarial explanations, which aim to understand the unstable nature of neural networks and improve their robustness. They explore how adversarial examples can be used to transform images and tabular data, highlighting the need for more intermediate ground between different classifications.In this clip
From this podcast
Data Skeptic
Adversarial Explanations
Related Questions