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Machine Unlearning

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Showing 76–100 of 438 papers

TitleStatusHype
Data Unlearning in Diffusion ModelsCode1
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language ModelsCode1
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic CommunicationsCode0
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning—0
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal—0
On the Vulnerability of Concept Erasure in Diffusion ModelsCode0
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated LearningCode0
When to Forget? Complexity Trade-offs in Machine Unlearning—0
Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions—0
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models—0
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models—0
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning—0
ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine UnlearningCode0
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language ModelsCode1
Privacy Preservation through Practical Machine Unlearning—0
Comparative Study of Machine Unlearning Techniques for Computer Vision and NLP ModelsCode0
SEMU: Singular Value Decomposition for Efficient Machine Unlearning—0
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning—0
Machine Unlearning via Information Theoretic Regularization—0
Realistic Image-to-Image Machine Unlearning via Decoupling and Knowledge Retention—0
FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse AutoencodersCode2
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning—0
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning—0
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