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Machine Unlearning

81 directly classified papers

Papers per year

Papers

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing EMNLP 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025
ReLearn: Unlearning via Learning for Large Language Models ACL 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025
Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning ACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology ACL 2025
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking ACL 2025
Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs ACL 2025
Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU ACL 2025
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints ACL 2025
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NIPS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NIPS 2024
Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NIPS 2024
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation AAAI 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024
Feature Unlearning for Pre-trained GANs and VAEs AAAI 2024
Towards Safer Large Language Models through Machine Unlearning ACL 2024