{"total":23,"rows":[{"id":"2603.26569","title":"Machine Unlearning under Retain-Forget Entanglement","created":"2026-03-27","cited_by_count":11,"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":"2511.19339","title":"POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse","created":"2025-11-24","cited_by_count":6,"area":"safety"},{"id":"2602.05375","title":"Erase at the Core: Representation Unlearning for Machine Unlearning","created":"2026-02-05","cited_by_count":5,"area":"safety"},{"id":"2506.01318","title":"Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack","created":"2025-06-02","cited_by_count":4,"area":"safety"},{"id":"2604.15166","title":"Class Unlearning via Depth-Aware Removal of Forget-Specific Directions","created":"2026-04-16","cited_by_count":4,"area":"safety"},{"id":"2603.15033","title":"Models Designed to Forget: Machine Unlearning via Key Deletion","created":"2026-03-16","cited_by_count":3,"area":"safety"},{"id":"2603.26316","title":"SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning","created":"2026-03-27","cited_by_count":3,"area":"safety"},{"id":"2507.07754","title":"One-Point Contraction: Erasing Representational Separability toward Irreversible Deep Forgetting","created":"2025-07-10","cited_by_count":2,"area":"safety"},{"id":"2602.21773","title":"Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias","created":"2026-02-25","cited_by_count":1,"area":"safety"},{"id":"2504.08616","title":"Preserving Privacy Without Compromising Accuracy: Machine Unlearning for Handwritten Text Recognition","created":"2025-04-11","cited_by_count":0,"area":"safety"},{"id":"2505.06520","title":"PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks","created":"2025-05-10","cited_by_count":0,"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":"2601.22456","title":"Machine Unlearning in Low-Dimensional Feature Subspace","created":"2026-01-30","cited_by_count":0,"area":"safety"},{"id":"2603.12915","title":"Stake the Points: Structure-Faithful Instance Unlearning","created":"2026-03-13","cited_by_count":0,"area":"safety"},{"id":"2605.08730","title":"Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation","created":"2026-05-09","cited_by_count":0,"area":"safety"},{"id":"2605.11592","title":"SoK: Unlearnability and Unlearning for Model Dememorization","created":"2026-05-12","cited_by_count":0,"area":"safety"},{"id":"2605.15737","title":"BARRIER: Bounded Activation Regions for Robust Information Erasure","created":"2026-05-15","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"},{"id":"2606.29880","title":"IREU: Identity-Related Encoder-Only Unlearning for Customized Portrait Generation","created":"2026-06-29","cited_by_count":0,"area":"safety"},{"id":"2607.23934","title":"DECAF: De-Clustering for Adaptive Representational Unlearning","created":"2026-07-27","cited_by_count":0,"area":"safety"},{"id":"2609.05966","title":"On-the-go Forgetting without Explicit Unlearning via ERASE","created":"2026-09-05","cited_by_count":0,"area":"safety"},{"id":"2609.38895","title":"Unmerge: Efficient Machine Unlearning via Task Arithmetic","created":"2026-09-30","cited_by_count":0,"area":"safety"}],"next_cursor":null}