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Machine Unlearning

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TitleStatusHype
Evaluating Deep Unlearning in Large Language ModelsCode1
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained DevicesCode0
Efficient Federated Unlearning under Plausible DeniabilityCode0
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized RegimesCode0
A Closer Look at Machine Unlearning for Large Language ModelsCode1
Noise is All You Need: Private Second-Order Convergence of Noisy SGD—0
Machine Unlearning in Forgettability Sequence—0
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept—0
NegMerge: Consensual Weight Negation for Strong Machine UnlearningCode1
Why Fine-Tuning Struggles with Forgetting in Machine Unlearning? Theoretical Insights and a Remedial Approach—0
Towards Understanding the Feasibility of Machine Unlearning—0
Mitigating Memorization In Language ModelsCode1
DynFrs: An Efficient Framework for Machine Unlearning in Random ForestCode0
Deep Unlearn: Benchmarking Machine Unlearning—0
Survey of Security and Data Attacks on Machine Unlearning In Financial and E-Commerce—0
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats—0
Unified Gradient-Based Machine Unlearning with Remain Geometry EnhancementCode1
An Adversarial Perspective on Machine Unlearning for AI SafetyCode1
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and ForgettingCode0
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language ModelsCode1
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models—0
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex FunctionsCode0
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning—0
Accurate Forgetting for All-in-One Image Restoration Model—0
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage—0
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks YetCode2
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper InfluenceCode1
Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code—0
Towards Aligned Data Removal via Twin Machine Unlearning—0
A Unified Framework for Continual Learning and Unlearning—0
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMsCode1
TruVRF: Towards Triple-Granularity Verification on Machine Unlearning—0
Preserving Privacy in Large Language Models: A Survey on Current Threats and SolutionsCode1
Neural Machine UnrankingCode0
Controllable Unlearning for Image-to-Image Generative Models via -Constrained Optimization—0
Towards Certified Unlearning for Deep Neural NetworksCode0
Verification of Machine Unlearning is FragileCode0
On the Limitations and Prospects of Machine Unlearning for Generative AI—0
Machine Unlearning in Generative AI: A SurveyCode2
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks—0
Machine Unlearning using a Multi-GAN based Model—0
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models—0
Revisiting Machine Unlearning with Dimensional Alignment—0
Unlearning Targeted Information via Single Layer Unlearning GradientCode1
One-Shot Unlearning of Personal IdentitiesCode0
Learning to Unlearn for Robust Machine Unlearning—0
On Large Language Model Continual UnlearningCode1
Learning to Refuse: Towards Mitigating Privacy Risks in LLMsCode1
Faster Machine Unlearning via Natural Gradient Descent—0
Machine Unlearning for Medical Imaging—0
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