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Machine Unlearning

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TitleStatusHype
Multi-Objective Large Language Model UnlearningCode0
MUNBa: Machine Unlearning via Nash BargainingCode0
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image ClassificationCode0
Dataset Condensation Driven Machine UnlearningCode0
MU-Bench: A Multitask Multimodal Benchmark for Machine UnlearningCode0
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language ModelsCode0
Model State Arithmetic for Machine UnlearningCode0
Avoiding Copyright Infringement via Large Language Model UnlearningCode0
MultiDelete for Multimodal Machine UnlearningCode0
Neural Machine UnrankingCode0
Machine Unlearning via Null Space CalibrationCode0
Group-robust Machine UnlearningCode0
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated LearningCode0
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceCode0
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERUCode0
Machine Unlearning Fails to Remove Data Poisoning AttacksCode0
Machine Unlearning for Document ClassificationCode0
Comparative Study of Machine Unlearning Techniques for Computer Vision and NLP ModelsCode0
Verification of Machine Unlearning is FragileCode0
LoRA Unlearns More and Retains More (Student Abstract)Code0
LMEraser: Large Model Unlearning through Adaptive Prompt TuningCode0
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative ModelsCode0
Machine UnlearningCode0
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of PrivacyCode0
Faster Machine Unlearning via Natural Gradient Descent—0
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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