| Eight Methods to Evaluate Robust Unlearning in LLMs | Feb 26, 2024 | Machine Unlearning | —Unverified | 0 | 0 |
| Towards Machine Unlearning for Paralinguistic Speech Processing | Jun 2, 2025 | Depression DetectionEmotion Recognition | —Unverified | 0 | 0 |
| Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning | May 29, 2024 | Machine Unlearning | —Unverified | 0 | 0 |
| Gradient Surgery for One-shot Unlearning on Generative Model | Jul 10, 2023 | Machine UnlearningMulti-Task Learning | —Unverified | 0 | 0 |
| GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning | Jun 19, 2024 | Adversarial AttackAdversarial Defense | —Unverified | 0 | 0 |
| Efficient Verified Machine Unlearning For Distillation | Mar 28, 2025 | Knowledge DistillationMachine Unlearning | —Unverified | 0 | 0 |
| Towards Natural Machine Unlearning | May 24, 2024 | Machine Unlearning | —Unverified | 0 | 0 |
| Efficient and Generalizable Certified Unlearning: A Hessian-free Recollection Approach | Apr 2, 2024 | Machine Unlearning | —Unverified | 0 | 0 |
| Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness | Mar 19, 2024 | Computational EfficiencyMachine Unlearning | —Unverified | 0 | 0 |
| Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation | Aug 25, 2023 | Machine Unlearningmodel | —Unverified | 0 | 0 |
