#52 - Unadversarial Examples (Hadi Salman, MIT)
Published:May 1, 2021 01:02
•1 min read
•ML Street Talk Pod
Analysis
This article discusses Hadi Salman's research on unadversarial examples, which are designed to improve the robustness of neural networks. It highlights the potential of leveraging the brittleness of neural networks to create models that are more resistant to adversarial attacks and generalize better. The article also touches upon related concepts like transferability and the role of robust features.
Key Takeaways
Reference
“Hadi actually utilized the brittleness of neural networks to design unadversarial examples or robust objects which_ are objects designed specifically to be robustly recognized by neural networks.”