{"total":25,"rows":[{"id":"2110.07719","title":"Certified Patch Robustness via Smoothed Vision Transformers","created":"2021-10-11","cited_by_count":45,"area":null},{"id":"2103.10834","title":"Improved, Deterministic Smoothing for L_1 Certified Robustness","created":"2021-03-17","cited_by_count":39,"area":null},{"id":"2202.13437","title":"A Unified Wasserstein Distributional Robustness Framework for Adversarial Training","created":"2022-02-27","cited_by_count":36,"area":null},{"id":"2107.00228","title":"Scalable Certified Segmentation via Randomized Smoothing","created":"2021-07-01","cited_by_count":35,"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":"2107.00996","title":"DeformRS: Certifying Input Deformations with Randomized Smoothing","created":"2021-07-02","cited_by_count":17,"area":null},{"id":"2211.01258","title":"Instance-Dependent Generalization Bounds via Optimal Transport","created":"2022-11-02","cited_by_count":13,"area":null},{"id":"2202.13216","title":"Adversarial robustness of sparse local Lipschitz predictors","created":"2022-02-26","cited_by_count":11,"area":null},{"id":"2203.00553","title":"Global-Local Regularization Via Distributional Robustness","created":"2022-03-01","cited_by_count":11,"area":null},{"id":"2309.13794","title":"Projected Randomized Smoothing for Certified Adversarial Robustness","created":"2023-09-25","cited_by_count":11,"area":null},{"id":"2112.06323","title":"Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses","created":"2021-12-12","cited_by_count":10,"area":null},{"id":"2112.05872","title":"SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings","created":"2021-12-11","cited_by_count":9,"area":null},{"id":"2302.01961","title":"Asymmetric Certified Robustness via Feature-Convex Neural Networks","created":"2023-02-03","cited_by_count":8,"area":null},{"id":"2305.04746","title":"Understanding Noise-Augmented Training for Randomized Smoothing","created":"2023-05-08","cited_by_count":7,"area":null},{"id":"2202.01186","title":"Smoothed Embeddings for Certified Few-Shot Learning","created":"2022-02-02","cited_by_count":6,"area":null},{"id":"2201.12440","title":"Certifying Model Accuracy under Distribution Shifts","created":"2022-01-28","cited_by_count":5,"area":null},{"id":"2207.07209","title":"Sound Randomized Smoothing in Floating-Point Arithmetics","created":"2022-07-14","cited_by_count":3,"area":null},{"id":"2402.08400","title":"Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing","created":"2024-02-13","cited_by_count":3,"area":null},{"id":"2208.07464","title":"An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models","created":"2022-08-15","cited_by_count":1,"area":null},{"id":"2405.15971","title":"Robust width: A lightweight and certifiable adversarial defense","created":"2024-05-24","cited_by_count":1,"area":null},{"id":"2603.10821","title":"Evaluating randomized smoothing as a defense against adversarial attacks in trajectory prediction","created":"2026-03-11","cited_by_count":1,"area":null},{"id":"2106.10324","title":"Group-Structured Adversarial Training","created":"2021-06-18","cited_by_count":0,"area":null},{"id":"2110.06816","title":"A Framework for Verification of Wasserstein Adversarial Robustness","created":"2021-10-13","cited_by_count":0,"area":null},{"id":"2303.12357","title":"Wasserstein Adversarial Examples on Univariant Time Series Data","created":"2023-03-22","cited_by_count":0,"area":null},{"id":"2608.12037","title":"Clustered Randomized Smoothing for Stochastic Prediction Functions","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}