Daniel Kang, Jacob Steinhardt, Yi Sun, and Alex Zhai — Study of the Robustness of Machine Learning Models

Award Date 
11/2018
Grant Amount 
$2,351
Purpose 
To support the study of the robustness of machine learning models.

Grant investigator: Daniel Dewey

This page was reviewed but not written by the grant investigator. Daniel Kang, Jacob Steinhardt, Yi Sun, and Alex Zhai also reviewed this page prior to publication.

Open Philanthropy contracted with Daniel Kang, Jacob Steinhardt, Yi Sun, and Alex Zhai for $2,351 to reimburse technology costs for their efforts to study the robustness of machine learning models, especially robustness to unforeseen adversaries. We believe this will accelerate progress in adversarial, worst-case robustness in machine learning.

This falls within our focus area of potential risks from advanced artificial intelligence. This project was supported through a contractor agreement. While we typically do not publish pages for contractor agreements, we occasionally opt to do so.