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Machine Unlearning

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Showing 201–225 of 438 papers

TitleStatusHype
Mitigating Backdoor Attacks using Activation-Guided Model Editing—0
Machine Unlearning for Medical Imaging—0
Composable Interventions for Language ModelsCode1
MUSE: Machine Unlearning Six-Way Evaluation for Language ModelsCode4
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
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios—0
AND: Audio Network Dissection for Interpreting Deep Acoustic Models—0
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning—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
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models—0
On Newton's Method to Unlearn Neural Networks—0
Textual Unlearning Gives a False Sense of Unlearning—0
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning—0
Mitigating Social Biases in Language Models through Unlearning—0
Jogging the Memory of Unlearned LLMs Through Targeted Relearning AttacksCode0
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal TransportCode0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language ModelsCode0
Soft Prompting for Unlearning in Large Language ModelsCode1
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs—0
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