{"total":18,"rows":[{"id":"2209.02299","title":"A Survey of Machine Unlearning","created":"2022-09-06","cited_by_count":312,"area":"safety"},{"id":"2308.07061","title":"Machine Unlearning: Solutions and Challenges","created":"2023-08-14","cited_by_count":93,"area":"safety"},{"id":"2208.10836","title":"Evaluating Machine Unlearning via Epistemic Uncertainty","created":"2022-08-23","cited_by_count":39,"area":"safety"},{"id":"2312.04095","title":"Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection","created":"2023-12-07","cited_by_count":37,"area":"safety"},{"id":"2405.07406","title":"Machine Unlearning: A Comprehensive Survey","created":"2024-05-13","cited_by_count":35,"area":"safety"},{"id":"2210.16424","title":"Machine Unlearning of Federated Clusters","created":"2022-10-28","cited_by_count":22,"area":"safety"},{"id":"2302.08990","title":"Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection","created":"2023-02-17","cited_by_count":20,"area":"safety"},{"id":"2209.00939","title":"An Introduction to Machine Unlearning","created":"2022-09-02","cited_by_count":13,"area":"safety"},{"id":"2312.02052","title":"DUCK: Distance-based Unlearning via Centroid Kinematics","created":"2023-12-04","cited_by_count":13,"area":"safety"},{"id":"2307.04550","title":"Gradient Surgery for One-shot Unlearning on Generative Model","created":"2023-07-10","cited_by_count":12,"area":"safety"},{"id":"2407.02356","title":"Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging","created":"2024-07-02","cited_by_count":9,"area":"safety"},{"id":"2503.00062","title":"CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning","created":"2025-02-27","cited_by_count":3,"area":"safety"},{"id":"2509.25613","title":"SMS: Self-supervised Model Seeding for Verification of Machine Unlearning","created":"2025-09-30","cited_by_count":1,"area":"safety"},{"id":"2601.07214","title":"BlindU: Blind Machine Unlearning without Revealing Erasing Data","created":"2026-01-12","cited_by_count":1,"area":"safety"},{"id":"2411.02622","title":"AdaProb: Efficient Machine Unlearning via Adaptive Probability","created":"2024-11-04","cited_by_count":0,"area":"safety"},{"id":"2502.19785","title":"SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications","created":"2025-02-27","cited_by_count":0,"area":"safety"},{"id":"2602.17088","title":"MeGU: Machine-Guided Unlearning with Target Feature Disentanglement","created":"2026-02-19","cited_by_count":0,"area":"safety"},{"id":"2608.16700","title":"Learning to Unlearn: Machine Unlearning via Learning the Unlearning Behaviors","created":"2026-08-17","cited_by_count":0,"area":"safety"}],"next_cursor":null}