1. Precise tradeoffs in adversarial training for linear regression;javanmard;Proc 33rd Conf Learn Theory,0
2. Efficient and accurate estimation of Lipschitz constants for deep neural networks;fazlyab;Proc 33rd Int Conf Neural Inf Process Syst,0
3. Asymptotic Behavior of Adversarial Training in Binary Linear Classification
4. Neural tangent kernel: Convergence and generalization in neural networks;jacot;Proc Int Conf Neural Inf Process,0
5. The curious case of adversarially robust models: More data can help, double descend, or hurt generalization;min;Proc Conf Uncertainty of Artificial Intelligence,0