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Machine Unlearning

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TitleStatusHype
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach—0
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine LearningCode1
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
The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models—0
Person De-reidentification: A Variation-guided Identity Shift Modeling—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
Learning to Forget using Hypernetworks—0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Machine Unlearning reveals that the Gender-based Violence Victim Condition can be detected from Speech in a Speaker-Agnostic Setting—0
From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models—0
MUNBa: Machine Unlearning via Nash BargainingCode0
Towards Robust Evaluation of Unlearning in LLMs via Data TransformationsCode0
Promoting User Data Autonomy During the Dissolution of a Monopolistic Firm—0
Verifying Machine Unlearning with Explainable AICode0
Provable unlearning in topic modeling and downstream tasks—0
A Review on Machine Unlearning—0
LoRA Unlearns More and Retains More (Student Abstract)Code0
Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA—0
Neural Corrective Machine Unranking—0
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method—0
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage—0
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity DatasetCode1
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning—0
Model Integrity when Unlearning with T2I Diffusion Models—0
Identify Backdoored Model in Federated Learning via Individual UnlearningCode1
RESTOR: Knowledge Recovery through Machine UnlearningCode0
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation—0
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP—0
Attribute-to-Delete: Machine Unlearning via Datamodel Matching—0
Machine Unlearning using Forgetting Neural Networks—0
Protecting Privacy in Multimodal Large Language Models with MLLMU-BenchCode2
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate—0
CLEAR: Character Unlearning in Textual and Visual ModalitiesCode1
Scalability of memorization-based machine unlearningCode1
Catastrophic Failure of LLM Unlearning via QuantizationCode1
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?—0
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