{"total":13,"rows":[{"id":"2110.01167","title":"Trustworthy AI: From Principles to Practices","created":"2021-10-04","cited_by_count":207,"area":null},{"id":"2302.01757","title":"RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion","created":"2023-01-31","cited_by_count":17,"area":null},{"id":"2203.14141","title":"Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding","created":"2022-03-26","cited_by_count":15,"area":null},{"id":"2402.19322","title":"Verification of Neural Networks' Global Robustness","created":"2024-02-29","cited_by_count":10,"area":null},{"id":"2209.13179","title":"Explainable Global Fairness Verification of Tree-Based Classifiers","created":"2022-09-27","cited_by_count":5,"area":null},{"id":"2112.02705","title":"Beyond Robustness: Resilience Verification of Tree-Based Classifiers","created":"2021-12-05","cited_by_count":4,"area":null},{"id":"2305.03626","title":"Verifiable Learning for Robust Tree Ensembles","created":"2023-05-05","cited_by_count":3,"area":null},{"id":"2307.01073","title":"What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?","created":"2023-07-03","cited_by_count":3,"area":null},{"id":"2312.10911","title":"The Pros and Cons of Adversarial Robustness","created":"2023-12-18","cited_by_count":1,"area":null},{"id":"2406.14265","title":"VeriFlow: Modeling Distributions for Neural Network Verification","created":"2024-06-20","cited_by_count":1,"area":null},{"id":"2402.14988","title":"Verifiable Boosted Tree Ensembles","created":"2024-02-22","cited_by_count":0,"area":null},{"id":"2504.02142","title":"Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds","created":"2025-04-02","cited_by_count":0,"area":null},{"id":"2511.06495","title":"Probably Approximately Global Robustness Certification","created":"2025-11-09","cited_by_count":0,"area":null}],"next_cursor":null}