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Machine Unlearning

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Showing 251–275 of 438 papers

TitleStatusHype
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
One-Shot Unlearning of Personal IdentitiesCode0
Learning to Unlearn for Robust Machine Unlearning—0
Faster Machine Unlearning via Natural Gradient Descent—0
Zero-Shot Class Unlearning in CLIP with Synthetic SamplesCode0
Machine Unlearning for Medical Imaging—0
Mitigating Backdoor Attacks using Activation-Guided Model Editing—0
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning—0
Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare Sector—0
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning—0
Machine Unlearning Fails to Remove Data Poisoning AttacksCode0
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning—0
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios—0
AND: Audio Network Dissection for Interpreting Deep Acoustic Models—0
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs—0
Blind Baselines Beat Membership Inference Attacks for Foundation ModelsCode0
MU-Bench: A Multitask Multimodal Benchmark for Machine UnlearningCode0
On Newton's Method to Unlearn Neural Networks—0
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models—0
Jogging the Memory of Unlearned LLMs Through Targeted Relearning AttacksCode0
Textual Unlearning Gives a False Sense of Unlearning—0
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning—0
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