{"total":34,"rows":[{"id":"2209.02299","title":"A Survey of Machine Unlearning","created":"2022-09-06","cited_by_count":312,"area":"safety"},{"id":"2111.08947","title":"Fast Yet Effective Machine Unlearning","created":"2021-11-17","cited_by_count":217,"area":"safety"},{"id":"2205.08096","title":"Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher","created":"2022-05-17","cited_by_count":194,"area":"safety"},{"id":"2201.05629","title":"Zero-Shot Machine Unlearning","created":"2022-01-14","cited_by_count":133,"area":"safety"},{"id":"2203.07320","title":"The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining","created":"2022-03-14","cited_by_count":118,"area":"safety"},{"id":"2310.12560","title":"Fast Model Debias with Machine Unlearning","created":"2023-10-19","cited_by_count":72,"area":"safety"},{"id":"2301.11578","title":"Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers","created":"2023-01-27","cited_by_count":67,"area":"safety"},{"id":"2409.19732","title":"Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement","created":"2024-09-29","cited_by_count":45,"area":"safety"},{"id":"2405.07406","title":"Machine Unlearning: A Comprehensive Survey","created":"2024-05-13","cited_by_count":35,"area":"safety"},{"id":"2210.08196","title":"Deep Regression Unlearning","created":"2022-10-15","cited_by_count":32,"area":"safety"},{"id":"2411.11315","title":"A Review on Machine Unlearning","created":"2024-11-18","cited_by_count":32,"area":"safety"},{"id":"2408.00920","title":"Towards Certified Unlearning for Deep Neural Networks","created":"2024-08-01","cited_by_count":31,"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":"2503.23751","title":"Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks","created":"2025-03-31","cited_by_count":28,"area":"safety"},{"id":"2312.00761","title":"Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting","created":"2023-12-01","cited_by_count":22,"area":"safety"},{"id":"2503.06339","title":"Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning","created":"2025-03-08","cited_by_count":19,"area":"safety"},{"id":"2211.11656","title":"SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization","created":"2022-11-21","cited_by_count":18,"area":"safety"},{"id":"2410.23232","title":"Attribute-to-Delete: Machine Unlearning via Datamodel Matching","created":"2024-10-30","cited_by_count":18,"area":"safety"},{"id":"2503.06991","title":"Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols","created":"2025-03-10","cited_by_count":18,"area":"safety"},{"id":"2311.16136","title":"ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach","created":"2023-11-03","cited_by_count":15,"area":"safety"},{"id":"2412.06966","title":"Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research","created":"2024-12-09","cited_by_count":15,"area":"safety"},{"id":"2209.00939","title":"An Introduction to Machine Unlearning","created":"2022-09-02","cited_by_count":13,"area":"safety"},{"id":"2509.26427","title":"Ascent Fails to Forget","created":"2025-09-30","cited_by_count":12,"area":"safety"},{"id":"2507.18725","title":"The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models","created":"2025-07-24","cited_by_count":7,"area":"safety"},{"id":"2210.16023","title":"LegoNet: A Fast and Exact Unlearning Architecture","created":"2022-10-28","cited_by_count":6,"area":"safety"},{"id":"2305.15242","title":"Machine Unlearning: its nature, scope, and importance for a \"delete culture\"","created":"2023-05-24","cited_by_count":5,"area":"safety"},{"id":"2401.13410","title":"How to Forget Clients in Federated Online Learning to Rank?","created":"2024-01-24","cited_by_count":4,"area":"safety"},{"id":"2406.07885","title":"GENIU: A Restricted Data Access Unlearning for Imbalanced Data","created":"2024-06-12","cited_by_count":3,"area":"safety"},{"id":"2402.00195","title":"Dataset Condensation Driven Machine Unlearning","created":"2024-01-31","cited_by_count":1,"area":"safety"},{"id":"2603.22870","title":"Designing to Forget: Deep Semi-parametric Models for Unlearning","created":"2026-03-24","cited_by_count":1,"area":"safety"},{"id":"2507.09786","title":"Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster","created":"2025-07-13","cited_by_count":0,"area":"safety"},{"id":"2507.10886","title":"How to Protect Models against Adversarial Unlearning?","created":"2025-07-15","cited_by_count":0,"area":"safety"},{"id":"2601.06967","title":"A Robust Certified Machine Unlearning Method Under Distribution Shift","created":"2026-01-11","cited_by_count":0,"area":"safety"},{"id":"2606.17122","title":"TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations","created":"2026-06-15","cited_by_count":0,"area":"safety"}],"next_cursor":null}