conftrace_

machine unlearning

290 papers

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Also known as

MU

Co-occurring keywords

large language model (13587) privacy preservation (380) knowledge editing (295) data privacy (108) knowledge distillation (3725) selective forgetting (30) model utility (36) model editing (159) right to be forgotten (24) knowledge removal (20)

Papers

Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? EMNLP 2025
Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models EMNLP 2025
LUME: LLM Unlearning with Multitask Evaluations EMNLP 2025
Reveal and Release: Iterative LLM Unlearning with Self-generated Data EMNLP 2025
Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning EMNLP 2025
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets EMNLP 2025
Lock on Target! Precision Unlearning via Directional Control EMNLP 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025
Person De-reidentification: A Variation-guided Identity Shift Modeling CVPR 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter CVPR 2025
ACE: Anti-Editing Concept Erasure in Text-to-Image Models CVPR 2025
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models AAAI 2025
Community-Centric Graph Unlearning AAAI 2025
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models AAAI 2025
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025
Quantifying Misattribution Unfairness in Authorship Attribution ACL 2025
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025
The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models CVPR 2025
Machine Unlearning of Personally Identifiable Information in Large Language Models EMNLP 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing EMNLP 2025
Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning JMLR 2025