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Machine Unlearning

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Showing 276–300 of 438 papers

TitleStatusHype
Mitigating Social Biases in Language Models through Unlearning—0
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language ModelsCode0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal TransportCode0
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs—0
Avoiding Copyright Infringement via Large Language Model UnlearningCode0
Towards Efficient Target-Level Machine Unlearning Based on Essential GraphCode0
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security—0
Potion: Towards Poison UnlearningCode0
Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning—0
A More Practical Approach to Machine Unlearning—0
Decoupling the Class Label and the Target Concept in Machine Unlearning—0
GENIU: A Restricted Data Access Unlearning for Imbalanced Data—0
Adversarial Machine Unlearning—0
Label Smoothing Improves Machine Unlearning—0
Machine Unlearning for Uplink Interference Cancellation—0
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing—0
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models—0
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable—0
Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning—0
An Information Theoretic Evaluation Metric For Strong Unlearning—0
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach—0
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten—0
Erase to Enhance: Data-Efficient Machine Unlearning in MRI ReconstructionCode0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
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