On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification
stat.ML, cond-mat.dis-nn, cs.CR, cs.LG
Submitted: 2025-06-14
Updated: 2026-09-01
Terminology
Sources
- The Gaussian min-max theorem in the Presence of Convexity
- Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula
- Adversarially Robust Generalization Just Requires More Unlabeled Data
- Why adversarial training can hurt robust accuracy
- On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
- Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
- Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms
- The Price of Implicit Bias in Adversarially Robust Generalization
- Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
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