{"total":17,"rows":[{"id":"2103.06624","title":"Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification","created":"2021-03-11","cited_by_count":228,"area":null},{"id":"2104.06718","title":"Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition","created":"2021-04-14","cited_by_count":44,"area":null},{"id":"2107.12045","title":"How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review","created":"2021-07-26","cited_by_count":39,"area":null},{"id":"2305.00241","title":"When Deep Learning Meets Polyhedral Theory: A Survey","created":"2023-04-29","cited_by_count":39,"area":null},{"id":"2206.14772","title":"IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound","created":"2022-06-29","cited_by_count":21,"area":null},{"id":"2110.01388","title":"Neural Network Verification in Control","created":"2021-09-30","cited_by_count":14,"area":null},{"id":"2206.07839","title":"Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness","created":"2022-06-15","cited_by_count":10,"area":null},{"id":"2107.12855","title":"Neural Network Branch-and-Bound for Neural Network Verification","created":"2021-07-27","cited_by_count":6,"area":null},{"id":"2210.07918","title":"A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops","created":"2022-10-14","cited_by_count":6,"area":null},{"id":"2107.07696","title":"Constrained Feedforward Neural Network Training via Reachability Analysis","created":"2021-07-16","cited_by_count":5,"area":null},{"id":"2209.07235","title":"Sound and Complete Verification of Polynomial Networks","created":"2022-09-15","cited_by_count":4,"area":null},{"id":"2304.03671","title":"Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems","created":"2023-04-07","cited_by_count":3,"area":null},{"id":"2406.04476","title":"Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis","created":"2024-06-06","cited_by_count":3,"area":null},{"id":"2101.09306","title":"Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification","created":"2021-01-22","cited_by_count":2,"area":null},{"id":"2106.05325","title":"ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs","created":"2021-06-09","cited_by_count":2,"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":"2507.17453","title":"Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees","created":"2025-07-23","cited_by_count":0,"area":null}],"next_cursor":null}