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Machine Unlearning

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TitleStatusHype
Federated Unlearning for Human Activity Recognition—0
Federated Unlearning via Active Forgetting—0
Few-Shot Concept Unlearning with Low Rank Adaptation—0
Few-Shot Unlearning by Model Inversion—0
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure—0
When to Forget? Complexity Trade-offs in Machine Unlearning—0
Forgetting Fast in Recommender Systems—0
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage—0
Forget Unlearning: Towards True Data-Deletion in Machine Learning—0
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols—0
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning—0
FROG: Fair Removal on Graphs—0
From Adaptive Query Release to Machine Unlearning—0
From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models—0
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning—0
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage—0
Generative Adversarial Networks Unlearning—0
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning—0
GENIU: A Restricted Data Access Unlearning for Imbalanced Data—0
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning—0
Eight Methods to Evaluate Robust Unlearning in LLMs—0
Towards Machine Unlearning for Paralinguistic Speech Processing—0
Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning—0
Gradient Surgery for One-shot Unlearning on Generative Model—0
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning—0
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