Trust and Distrust in ML: Privacy, Verification and Robustness - Part 2

In this Emmy Noether Lecture, Shafi Goldwasser from the Simons Institute for the Theory of Computing, UC Berkeley, MIT, and Weizmann Institute of Science explores the critical aspects of machine learning trustworthiness in her talk "Trust and Distrust in ML: Privacy, Verification and Robustness Part 2." Delve into the complex challenges surrounding privacy protection, verification methods, and robustness in machine learning systems during this 57-minute presentation. The lecture will take place at 2:00pm in Wolfensohn Hall with remote access options available on April 15, 2025, hosted by the Institute for Advanced Study.