{"total":26,"rows":[{"id":"2305.11391","title":"A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation","created":"2023-05-19","cited_by_count":93,"area":null},{"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":"2304.06715","title":"Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2308.05985","title":"TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models","created":"2023-08-11","cited_by_count":8,"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":"2502.14833","title":"Probabilistic Robustness in Deep Learning: A Concise yet Comprehensive Guide","created":"2025-02-20","cited_by_count":6,"area":null},{"id":"2410.10091","title":"Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors","created":"2024-10-14","cited_by_count":3,"area":null},{"id":"2412.09376","title":"A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis","created":"2024-12-12","cited_by_count":3,"area":null},{"id":"2503.08636","title":"Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning","created":"2025-03-11","cited_by_count":3,"area":null},{"id":"2306.14786","title":"Evolutionary approaches to explainable machine learning","created":"2023-06-23","cited_by_count":2,"area":null},{"id":"2309.00018","title":"Unsupervised discovery of Interpretable Visual Concepts","created":"2023-08-31","cited_by_count":2,"area":null},{"id":"2405.02583","title":"Explainable Interface for Human-Autonomy Teaming: A Survey","created":"2024-05-04","cited_by_count":2,"area":null},{"id":"2406.07811","title":"Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems","created":"2024-06-12","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":"2410.16795","title":"Scene-Aware Explainable Multimodal Trajectory Prediction","created":"2024-10-22","cited_by_count":2,"area":null},{"id":"2507.12913","title":"Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI","created":"2025-07-17","cited_by_count":2,"area":null},{"id":"2606.29623","title":"SCARCE: Scalable Cascade Analysis for Rare-event Characterisation via Embeddings","created":"2026-06-28","cited_by_count":2,"area":null},{"id":"2402.02452","title":"XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics","created":"2024-02-04","cited_by_count":1,"area":null},{"id":"2506.01059","title":"XAI-Units: Benchmarking Explainability Methods with Unit Tests","created":"2025-06-01","cited_by_count":1,"area":null},{"id":"2511.01724","title":"PRBench: A Standardized Probabilistic Robustness Benchmark","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2511.17380","title":"Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions","created":"2025-11-21","cited_by_count":1,"area":null},{"id":"2512.16468","title":"Quantifying Fidelity: A Decisive Feature Approach to Comparing Synthetic and Real Imagery","created":"2025-12-18","cited_by_count":1,"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":"2407.12950","title":"Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI","created":"2024-07-17","cited_by_count":0,"area":null},{"id":"2509.23585","title":"EVO-LRP: Evolutionary Optimization of LRP for Interpretable Model Explanations","created":"2025-09-28","cited_by_count":0,"area":null}],"next_cursor":null}