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Machine Unlearning

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TitleStatusHype
Deep Contrastive Unlearning for Language Models—0
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERUCode0
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
Group-robust Machine UnlearningCode0
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols—0
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning—0
Node-level Contrastive Unlearning on Graph Neural Networks—0
AMUN: Adversarial Machine UNlearning—0
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning—0
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic CommunicationsCode0
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal—0
When to Forget? Complexity Trade-offs in Machine Unlearning—0
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated LearningCode0
On the Vulnerability of Concept Erasure in Diffusion ModelsCode0
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
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
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning—0
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning—0
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach—0
Towards Aligned Data Forgetting via Twin Machine Unlearning—0
Open Problems in Machine Unlearning for AI Safety—0
OpenGU: A Comprehensive Benchmark for Graph Unlearning—0
Towards Source-Free Machine Unlearning—0
Person De-reidentification: A Variation-guided Identity Shift Modeling—0
The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models—0
Multi-Objective Large Language Model UnlearningCode0
A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Models—0
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image ClassificationCode0
A hybrid framework for effective and efficient machine unlearning—0
Toward Efficient Data-Free UnlearningCode0
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions—0
The Utility and Complexity of in- and out-of-Distribution Machine Unlearning—0
Moderating the Generalization of Score-based Generative Model—0
Boosting Alignment for Post-Unlearning Text-to-Image Generative ModelsCode0
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice—0
Improved Localized Machine Unlearning Through the Lens of Memorization—0
Siamese Machine Unlearning with Knowledge Vaporization and ConcentrationCode0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
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