{"total":28,"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":"2310.14369","title":"MoPe: Model Perturbation-based Privacy Attacks on Language Models","created":"2023-10-22","cited_by_count":25,"area":null},{"id":"2405.05369","title":"Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory","created":"2024-05-08","cited_by_count":14,"area":null},{"id":"2211.14858","title":"\"Explain it in the Same Way!\" -- Model-Agnostic Group Fairness of Counterfactual Explanations","created":"2022-11-27","cited_by_count":9,"area":null},{"id":"2310.18937","title":"The Utility of \"Even if...\" Semifactual Explanation to Optimise Positive Outcomes","created":"2023-10-29","cited_by_count":8,"area":null},{"id":"2410.08007","title":"Time Can Invalidate Algorithmic Recourse","created":"2024-10-10","cited_by_count":8,"area":null},{"id":"2312.04542","title":"SoK: Unintended Interactions among Machine Learning Defenses and Risks","created":"2023-12-07","cited_by_count":6,"area":null},{"id":"2404.00673","title":"A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures","created":"2024-03-31","cited_by_count":6,"area":null},{"id":"2308.04341","title":"Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage","created":"2023-08-08","cited_by_count":5,"area":null},{"id":"2311.14137","title":"Privacy-Preserving Algorithmic Recourse","created":"2023-11-23","cited_by_count":5,"area":null},{"id":"2606.09401","title":"Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models","created":"2026-06-08","cited_by_count":4,"area":null},{"id":"2502.05325","title":"From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks","created":"2025-02-07","cited_by_count":3,"area":null},{"id":"2304.14606","title":"Algorithmic Recourse with Missing Values","created":"2023-04-28","cited_by_count":2,"area":null},{"id":"2306.12609","title":"Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities","created":"2023-06-22","cited_by_count":2,"area":null},{"id":"2410.13812","title":"Private Counterfactual Retrieval","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2505.02828","title":"Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review","created":"2025-05-05","cited_by_count":2,"area":null},{"id":"2402.04579","title":"Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics","created":"2024-02-07","cited_by_count":1,"area":null},{"id":"2404.03348","title":"Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations","created":"2024-04-04","cited_by_count":1,"area":null},{"id":"2507.04528","title":"Towards integration of Privacy Enhancing Technologies in Explainable Artificial Intelligence","created":"2025-07-06","cited_by_count":1,"area":null},{"id":"2508.10148","title":"Out-of-Distribution Detection using Counterfactual Distance","created":"2025-08-13","cited_by_count":1,"area":null},{"id":"2601.03429","title":"DeepLeak: Privacy Enhancing Hardening of Model Explanations Against Membership Leakage","created":"2026-01-06","cited_by_count":1,"area":null},{"id":"2604.08030","title":"From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2405.18671","title":"Watermarking Counterfactual Explanations","created":"2024-05-29","cited_by_count":0,"area":null},{"id":"2411.10429","title":"Private Counterfactual Retrieval With Immutable Features","created":"2024-11-15","cited_by_count":0,"area":null},{"id":"2508.03681","title":"What If, But Privately: Private Counterfactual Retrieval","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2605.16041","title":"Explainable AI Isn't Enough! Rethinking Algorithmic Contestability","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2609.10627","title":"SoK: Privacy Attacks on Machine Learning via Explainable AI","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.12179","title":"Explanations-Driven Active Feature Acquisition for Algorithmic Recourse","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}