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Machine Unlearning

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TitleStatusHype
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation—0
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning—0
Mitigating Social Biases in Language Models through Unlearning—0
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning—0
Model Integrity when Unlearning with T2I Diffusion Models—0
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept—0
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate—0
Moderating the Generalization of Score-based Generative Model—0
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing—0
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning—0
Multi-Class Unlearning for Image Classification via Weight Filtering—0
A hybrid framework for effective and efficient machine unlearning—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
Coded Machine Unlearning—0
Adversarial Machine Unlearning—0
MUter: Machine Unlearning on Adversarially Trained Models—0
τ: Gradient-based and Task-Agnostic machine Unlearning—0
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective—0
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP—0
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations—0
Neural Corrective Machine Unranking—0
Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks—0
Node-level Contrastive Unlearning on Graph Neural Networks—0
Noise is All You Need: Private Second-Order Convergence of Noisy SGD—0
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