{"total":23,"rows":[{"id":"2204.08570","title":"A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability","created":"2022-04-18","cited_by_count":118,"area":null},{"id":"2205.07424","title":"Trustworthy Graph Neural Networks: Aspects, Methods and Trends","created":"2022-05-16","cited_by_count":89,"area":null},{"id":"2203.00949","title":"GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation","created":"2022-03-02","cited_by_count":46,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2308.16375","title":"A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications","created":"2023-08-31","cited_by_count":22,"area":null},{"id":"2301.12951","title":"Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks","created":"2023-01-30","cited_by_count":16,"area":null},{"id":"2201.04066","title":"VGAER: Graph Neural Network Reconstruction based Community Detection","created":"2022-01-08","cited_by_count":14,"area":null},{"id":"2202.07835","title":"SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service","created":"2022-02-16","cited_by_count":10,"area":null},{"id":"2407.11359","title":"Feature Inference Attack on Shapley Values","created":"2024-07-16","cited_by_count":9,"area":null},{"id":"2312.16203","title":"User Consented Federated Recommender System Against Personalized Attribute Inference Attack","created":"2023-12-23","cited_by_count":7,"area":null},{"id":"2401.05680","title":"Use of Graph Neural Networks in Aiding Defensive Cyber Operations","created":"2024-01-11","cited_by_count":7,"area":null},{"id":"2312.15591","title":"Privacy-Preserved Neural Graph Databases","created":"2023-12-25","cited_by_count":5,"area":null},{"id":"2308.08360","title":"Independent Distribution Regularization for Private Graph Embedding","created":"2023-08-16","cited_by_count":4,"area":null},{"id":"2510.18052","title":"Measure-Theoretic Anti-Causal Representation Learning","created":"2025-10-16","cited_by_count":4,"area":null},{"id":"2308.13513","title":"Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs","created":"2023-08-25","cited_by_count":3,"area":null},{"id":"2309.11515","title":"Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach","created":"2023-09-17","cited_by_count":3,"area":null},{"id":"2407.18564","title":"Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data","created":"2024-07-26","cited_by_count":3,"area":null},{"id":"2412.11066","title":"Learning Robust and Privacy-Preserving Representations via Information Theory","created":"2024-12-15","cited_by_count":3,"area":null},{"id":"2210.11730","title":"Privacy-Preserved Neural Graph Similarity Learning","created":"2022-10-21","cited_by_count":2,"area":null},{"id":"2401.12824","title":"MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage","created":"2024-01-23","cited_by_count":2,"area":null},{"id":"2205.14440","title":"Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks","created":"2022-05-28","cited_by_count":1,"area":null},{"id":"2402.04033","title":"On provable privacy vulnerabilities of graph representations","created":"2024-02-06","cited_by_count":1,"area":null},{"id":"2310.18241","title":"$\\alpha$-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing","created":"2023-10-27","cited_by_count":0,"area":null}],"next_cursor":null}