{"total":32,"rows":[{"id":"2104.04448","title":"Relating Adversarially Robust Generalization to Flat Minima","created":"2021-04-09","cited_by_count":57,"area":null},{"id":"2106.06946","title":"Boosting Randomized Smoothing with Variance Reduced Classifiers","created":"2021-06-13","cited_by_count":47,"area":null},{"id":"2108.04062","title":"Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100","created":"2021-08-05","cited_by_count":47,"area":null},{"id":"2106.09292","title":"CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing","created":"2021-06-17","cited_by_count":42,"area":null},{"id":"2106.11420","title":"Policy Smoothing for Provably Robust Reinforcement Learning","created":"2021-06-21","cited_by_count":40,"area":null},{"id":"2107.10873","title":"On the Certified Robustness for Ensemble Models and Beyond","created":"2021-07-22","cited_by_count":40,"area":null},{"id":"2303.04278","title":"CUDA: Convolution-based Unlearnable Datasets","created":"2023-03-07","cited_by_count":26,"area":null},{"id":"2206.07912","title":"Double Sampling Randomized Smoothing","created":"2022-06-16","cited_by_count":22,"area":null},{"id":"2310.00116","title":"Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization","created":"2023-09-29","cited_by_count":21,"area":null},{"id":"2102.09701","title":"Center Smoothing: Certified Robustness for Networks with Structured Outputs","created":"2021-02-19","cited_by_count":18,"area":null},{"id":"2407.09165","title":"Robust Yet Efficient Conformal Prediction Sets","created":"2024-07-12","cited_by_count":16,"area":null},{"id":"2305.19521","title":"Incremental Randomized Smoothing Certification","created":"2023-05-31","cited_by_count":12,"area":null},{"id":"2502.14105","title":"Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations","created":"2025-02-19","cited_by_count":12,"area":null},{"id":"2201.00768","title":"Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions","created":"2022-01-03","cited_by_count":11,"area":null},{"id":"2210.16140","title":"Localized Randomized Smoothing for Collective Robustness Certification","created":"2022-10-28","cited_by_count":10,"area":null},{"id":"2211.08453","title":"Improved techniques for deterministic l2 robustness","created":"2022-11-15","cited_by_count":9,"area":null},{"id":"2212.06079","title":"Robust Perception through Equivariance","created":"2022-12-12","cited_by_count":9,"area":null},{"id":"2212.09000","title":"Confidence-aware Training of Smoothed Classifiers for Certified Robustness","created":"2022-12-18","cited_by_count":9,"area":null},{"id":"2312.06436","title":"Reward Certification for Policy Smoothed Reinforcement Learning","created":"2023-12-11","cited_by_count":7,"area":null},{"id":"2401.02718","title":"Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence","created":"2024-01-05","cited_by_count":7,"area":null},{"id":"2405.13922","title":"Towards Certification of Uncertainty Calibration under Adversarial Attacks","created":"2024-05-22","cited_by_count":5,"area":null},{"id":"2503.05239","title":"Robust Conformal Prediction with a Single Binary Certificate","created":"2025-03-07","cited_by_count":4,"area":null},{"id":"2506.16553","title":"One Sample is Enough to Make Conformal Prediction Robust","created":"2025-06-19","cited_by_count":4,"area":null},{"id":"2307.13885","title":"Characterizing Data Point Vulnerability via Average-Case Robustness","created":"2023-07-26","cited_by_count":3,"area":null},{"id":"2312.12608","title":"Rethinking Randomized Smoothing from the Perspective of Scalability","created":"2023-12-19","cited_by_count":3,"area":null},{"id":"2211.10882","title":"Multi-head Ensemble of Smoothed Classifiers for Certified Robustness","created":"2022-11-20","cited_by_count":2,"area":null},{"id":"2403.02329","title":"COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks","created":"2024-03-04","cited_by_count":2,"area":null},{"id":"2408.00895","title":"Discrete Randomized Smoothing Meets Quantum Computing","created":"2024-08-01","cited_by_count":2,"area":null},{"id":"2509.25979","title":"Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2207.05127","title":"RUSH: Robust Contrastive Learning via Randomized Smoothing","created":"2022-07-11","cited_by_count":1,"area":null},{"id":"2503.17172","title":"Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2606.08467","title":"The Confidence Trap: Calibration Attacks for Graph Neural Networks","created":"2026-06-07","cited_by_count":0,"area":null}],"next_cursor":null}