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Machine Unlearning

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Showing 401–438 of 438 papers

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
Efficient Verified Machine Unlearning For Distillation—0
Towards Natural Machine Unlearning—0
Efficient and Generalizable Certified Unlearning: A Hessian-free Recollection Approach—0
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness—0
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation—0
Efficient Machine Unlearning by Model Splitting and Core Sample Selection—0
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal—0
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning—0
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks—0
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats—0
Improved Localized Machine Unlearning Through the Lens of Memorization—0
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning—0
A Review on Machine Unlearning—0
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