Adversarial Examples Discussion

This article summarizes a podcast episode discussing adversarial examples in machine learning. It highlights the ongoing research into why these examples exist and their impact on neural networks. The article mentions the 'features not bugs' paper and introduces the researchers involved, providing links to their profiles. The structure of the podcast is also outlined, indicating the topics covered.

• •Adversarial examples are a significant area of research in machine learning.
• •Non-robust features are a key factor in the creation of adversarial examples.
• •The podcast features leading researchers in the field.
• •Threat modeling in AI and ML systems is a related area of interest.