Track 2 Session 1: Spotlights

- List-decodable Linear Regression - On the Hardness of Robust Classification - Adversarial Examples Are Not Bugs, They Are Features - Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness - Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection