{"total":28,"rows":[{"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":"2104.02466","title":"A Review of Formal Methods applied to Machine Learning","created":"2021-04-06","cited_by_count":33,"area":null},{"id":"2207.02036","title":"PRoA: A Probabilistic Robustness Assessment against Functional Perturbations","created":"2022-07-05","cited_by_count":19,"area":null},{"id":"2103.07224","title":"BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks","created":"2021-03-12","cited_by_count":17,"area":null},{"id":"2101.10102","title":"Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning","created":"2021-01-25","cited_by_count":12,"area":null},{"id":"2212.11138","title":"QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks","created":"2022-12-10","cited_by_count":12,"area":null},{"id":"2502.09324","title":"Depth-Bounds for Neural Networks via the Braid Arrangement","created":"2025-02-13","cited_by_count":11,"area":null},{"id":"2206.03044","title":"CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness","created":"2022-06-07","cited_by_count":9,"area":null},{"id":"2212.02781","title":"QEBVerif: Quantization Error Bound Verification of Neural Networks","created":"2022-12-06","cited_by_count":9,"area":null},{"id":"2410.23903","title":"Neural Network Verification with PyRAT","created":"2024-10-31","cited_by_count":9,"area":null},{"id":"2104.14435","title":"Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes","created":"2021-04-25","cited_by_count":6,"area":null},{"id":"2307.11784","title":"What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems","created":"2023-07-20","cited_by_count":6,"area":null},{"id":"2403.07956","title":"DeepCDCL: An CDCL-based Neural Network Verification Framework","created":"2024-03-12","cited_by_count":6,"area":null},{"id":"2108.10451","title":"Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications","created":"2021-08-24","cited_by_count":5,"area":null},{"id":"2301.11912","title":"OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks","created":"2023-01-27","cited_by_count":5,"area":null},{"id":"2512.00164","title":"Faster Verified Explanations for Neural Networks","created":"2025-11-28","cited_by_count":4,"area":null},{"id":"2303.05394","title":"A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning enabled Control Systems","created":"2023-03-07","cited_by_count":3,"area":null},{"id":"2211.01022","title":"Verifying And Interpreting Neural Networks using Finite Automata","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2302.06455","title":"Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks","created":"2023-02-10","cited_by_count":2,"area":null},{"id":"2502.16286","title":"Verification of Bit-Flip Attacks against Quantized Neural Networks","created":"2025-02-22","cited_by_count":2,"area":null},{"id":"2103.03704","title":"Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features","created":"2021-03-05","cited_by_count":1,"area":null},{"id":"2409.20517","title":"SMLE: Safe Machine Learning via Embedded Overapproximation","created":"2024-09-30","cited_by_count":1,"area":null},{"id":"2602.15499","title":"ExLipBaB: Exact Lipschitz Constant Computation for Piecewise Linear Neural Networks","created":"2026-02-17","cited_by_count":1,"area":null},{"id":"2211.16808","title":"Efficient Adversarial Input Generation via Neural Net Patching","created":"2022-11-30","cited_by_count":0,"area":null},{"id":"2306.02639","title":"Evaluating robustness of support vector machines with the Lagrangian dual approach","created":"2023-06-05","cited_by_count":0,"area":null},{"id":"2307.15907","title":"An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks","created":"2023-07-29","cited_by_count":0,"area":null},{"id":"2404.01642","title":"Patch Synthesis for Property Repair of Deep Neural Networks","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2508.19183","title":"Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness","created":"2025-08-26","cited_by_count":0,"area":null}],"next_cursor":null}