Explore a 33-minute lecture on data valuation techniques using perturbation-aware approaches, presented by Giulia Fanti from Carnegie Mellon University at the Simons Institute. Delve into information-theoretic methods for trustworthy machine learning and gain insights into advanced strategies for assessing the value of data in various computational contexts.