{"total":24,"rows":[{"id":"2308.07061","title":"Machine Unlearning: Solutions and Challenges","created":"2023-08-14","cited_by_count":93,"area":"safety"},{"id":"2305.06360","title":"Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy","created":"2023-05-10","cited_by_count":51,"area":"safety"},{"id":"2405.07406","title":"Machine Unlearning: A Comprehensive Survey","created":"2024-05-13","cited_by_count":35,"area":"safety"},{"id":"2312.10336","title":"Certified Minimax Unlearning with Generalization Rates and Deletion Capacity","created":"2023-12-16","cited_by_count":29,"area":"safety"},{"id":"2307.14754","title":"Fair Machine Unlearning: Data Removal while Mitigating Disparities","created":"2023-07-27","cited_by_count":26,"area":"safety"},{"id":"2406.06186","title":"A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks","created":"2024-06-10","cited_by_count":15,"area":"safety"},{"id":"2408.09212","title":"Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier","created":"2024-08-17","cited_by_count":14,"area":"safety"},{"id":"2309.16173","title":"Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation","created":"2023-09-28","cited_by_count":13,"area":"safety"},{"id":"2310.02164","title":"A Survey of Graph Unlearning","created":"2023-08-23","cited_by_count":12,"area":"safety"},{"id":"2506.06112","title":"Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness","created":"2025-06-06","cited_by_count":11,"area":"safety"},{"id":"2501.02728","title":"OpenGU: A Comprehensive Benchmark for Graph Unlearning","created":"2025-01-06","cited_by_count":8,"area":"safety"},{"id":"2405.16798","title":"Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten","created":"2024-05-27","cited_by_count":3,"area":"safety"},{"id":"2505.09702","title":"Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing","created":"2025-05-14","cited_by_count":3,"area":"safety"},{"id":"2407.05112","title":"Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning","created":"2024-07-06","cited_by_count":2,"area":"safety"},{"id":"2505.12614","title":"Adaptive Graph Unlearning","created":"2025-05-19","cited_by_count":2,"area":"safety"},{"id":"2601.14694","title":"Re-understanding Graph Unlearning through Memorization","created":"2026-01-21","cited_by_count":2,"area":"safety"},{"id":"2608.29360","title":"Spatial Entropy based Partitioning for Spatiotemporal Graph Unlearning","created":"2026-08-29","cited_by_count":1,"area":"safety"},{"id":"2411.03914","title":"Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage","created":"2024-11-06","cited_by_count":0,"area":"safety"},{"id":"2412.00067","title":"Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs","created":"2024-11-25","cited_by_count":0,"area":"safety"},{"id":"2505.14945","title":"Unlearning Algorithmic Biases over Graphs","created":"2025-05-20","cited_by_count":0,"area":"safety"},{"id":"2508.02044","title":"Graph Unlearning via Embedding Reconstruction -- A Range-Null Space Decomposition Approach","created":"2025-08-04","cited_by_count":0,"area":"safety"},{"id":"2511.10936","title":"GraphToxin: Reconstructing Full Unlearned Graphs from Graph Unlearning","created":"2025-11-14","cited_by_count":0,"area":"safety"},{"id":"2605.03303","title":"Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection","created":"2026-05-05","cited_by_count":0,"area":"safety"},{"id":"2606.24113","title":"FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters","created":"2026-06-23","cited_by_count":0,"area":"safety"}],"next_cursor":null}