Mindset in Research
Florian discusses the varying mindsets towards incorrect results in different research communities, highlighting the more permissive approach in machine learning compared to mathematics and security. The chapter delves into the consequences of publishing incorrect results and the evolving nature of research evaluation in the field.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
Related Questions
What are adversarial attacks on machine learning models as discussed in the episode #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr) and the clip Machine Learning Defense Strategies?
What are adversarial attacks on machine learning models?
How rigorous is scientific publishing as discussed in the episode #040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr) and the clip Incentives for Rigorous Analysis?