robust overfitting

How Learning Dynamics Drive Adversarially Robust Generalization? UAI 2026 Adversarial Training May Induce Deteriorating Distributions UAI 2025 Algorithmic Stability Based Generalization Bounds for Adversarial Training ICLR 2025 Identifying and Understanding Cross-Class Features in Adversarial Training ICML 2025 On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics ICML 2025 Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization ICLR 2025 Adversarial Training Should Be Cast as a Non-Zero-Sum Game ICLR 2024 Annealing Self-Distillation Rectification Improves Adversarial Training ICLR 2024 Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training ICLR 2024 Exploring Adversarial Robustness of Deep State Space Models NeurIPS 2024 Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024 Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM CVPR 2024 The Effectiveness of Random Forgetting for Robust Generalization ICLR 2024 Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach ICLR 2024 Uniformly Stable Algorithms for Adversarial Training and Beyond ICML 2024 Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Data augmentation alone can improve adversarial training ICLR 2023 Exploring Robust Overfitting for Pre-trained Language Models ACL 2023 Improving Robustness with Adaptive Weight Decay NeurIPS 2023 Consistency Regularization for Adversarial Robustness AAAI 2022 Exploring Memorization in Adversarial Training ICLR 2022 Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting NeurIPS 2022 Stability Analysis and Generalization Bounds of Adversarial Training NeurIPS 2022 Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022