Elvis Dohmatob

On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes

2022 · arXiv (Cornell University)

Neural networks are known to be highly sensitive to adversarial examples. These may arise due to different factors, such as random initialization, or spurious correlations in the learning problem. To better understand these factors, we …

Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms

2023 · arXiv (Cornell University)

In this paper, we investigate the impact of test-time adversarial attacks on linear regression models and determine the optimal level of robustness that any model can reach while maintaining a given level of standard predictive …