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Machine Unlearning

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TitleStatusHype
Towards Machine Unlearning for Paralinguistic Speech Processing—0
Towards Natural Machine Unlearning—0
Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View—0
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning—0
Towards Source-Free Machine Unlearning—0
Towards Understanding the Feasibility of Machine Unlearning—0
TruVRF: Towards Triple-Granularity Verification on Machine Unlearning—0
UCD: Unlearning in LLMs via Contrastive Decoding—0
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search—0
Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation—0
Unlearnable Algorithms for In-context Learning—0
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate—0
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases—0
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method—0
Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code—0
Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning—0
Unlearning with Fisher Masking—0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
Verifiable Unlearning on Edge—0
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models—0
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations—0
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers—0
What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests—0
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers—0
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?—0
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