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Machine Unlearning

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Showing 201–225 of 438 papers

TitleStatusHype
FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model—0
Faster Machine Unlearning via Natural Gradient Descent—0
Fast Model Debias with Machine Unlearning—0
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models—0
Federated Knowledge Graph Unlearning via Diffusion Model—0
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions—0
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security—0
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach—0
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
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
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
GENIU: A Restricted Data Access Unlearning for Imbalanced Data—0
Provable unlearning in topic modeling and downstream tasks—0
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning—0
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