{"total":22,"rows":[{"id":"2306.06123","title":"Adversarial attacks and defenses in explainable artificial intelligence: A survey","created":"2023-06-06","cited_by_count":48,"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":"2303.14496","title":"Learning with Explanation Constraints","created":"2023-03-25","cited_by_count":8,"area":null},{"id":"2306.13614","title":"Adversarial Robustness Certification for Bayesian Neural Networks","created":"2023-06-23","cited_by_count":7,"area":null},{"id":"2406.13433","title":"Certification for Differentially Private Prediction in Gradient-Based Training","created":"2024-06-19","cited_by_count":7,"area":null},{"id":"2310.01951","title":"Probabilistic Reach-Avoid for Bayesian Neural Networks","created":"2023-10-03","cited_by_count":5,"area":null},{"id":"2512.01899","title":"Provably Safe Model Updates","created":"2025-12-01","cited_by_count":3,"area":null},{"id":"2303.06419","title":"Use Perturbations when Learning from Explanations","created":"2023-03-11","cited_by_count":2,"area":null},{"id":"2406.09069","title":"On the Robustness of Global Feature Effect Explanations","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2511.06341","title":"Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation","created":"2025-11-09","cited_by_count":2,"area":null},{"id":"2212.14106","title":"Provable Robust Saliency-based Explanations","created":"2022-12-28","cited_by_count":1,"area":null},{"id":"2603.01938","title":"Explanation-Guided Adversarial Training for Robust and Interpretable Models","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2609.39629","title":"Certification-Based Differentially Private Learning","created":"2026-09-30","cited_by_count":1,"area":null},{"id":"2307.04024","title":"Robust Ranking Explanations","created":"2023-07-08","cited_by_count":0,"area":null},{"id":"2403.06013","title":"Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape","created":"2024-03-09","cited_by_count":0,"area":null},{"id":"2403.16569","title":"Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2412.11119","title":"Impact of Adversarial Attacks on Deep Learning Model Explainability","created":"2024-12-15","cited_by_count":0,"area":null},{"id":"2505.12421","title":"Fixed Point Explainability","created":"2025-05-18","cited_by_count":0,"area":null},{"id":"2506.19680","title":"Model Guidance via Robust Feature Attribution","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2512.07578","title":"$\\phi$-Table: A Statistical Explanation for Global SHAP","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2604.14209","title":"Towards Verified and Targeted Explanations through Formal Methods","created":"2026-04-05","cited_by_count":0,"area":null},{"id":"2610.06238","title":"Certification-Enhanced Generalization Bounds","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}