DeepMind’s Three Pillars for Building Robust Machine Learning Systems
Specification Testing, Robust Training and Formal Verification are three elements that the AI powerhouse believe hold the essence of robust machine learning models.
Jesus Rodriguez
Aug 21
“The notion of robustness in machine learning model should go beyond performing well against training and testing datasets but should also behave according to a predefined set of specifications that describe a desirable behavior of the system. Using our previous example, a requirement specification might detail the expected behavior of a machine learning model against adversarial perturbations or a given set of safety constraints.”