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Machine Unlearning

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TitleStatusHype
FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model—0
Fairness and Robustness in Machine Unlearning—0
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP—0
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy—0
Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions—0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten—0
Example-based Explanations for Random Forests using Machine Unlearning—0
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions—0
A hybrid framework for effective and efficient machine unlearning—0
Challenges and Pitfalls of Bayesian Unlearning—0
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach—0
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure—0
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity—0
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols—0
Adversarial Machine Unlearning—0
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning—0
Eight Methods to Evaluate Robust Unlearning in LLMs—0
Efficient Verified Machine Unlearning For Distillation—0
Efficient and Generalizable Certified Unlearning: A Hessian-free Recollection Approach—0
Efficient Machine Unlearning by Model Splitting and Core Sample Selection—0
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning—0
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats—0
A Review on Machine Unlearning—0
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning—0
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