Machine Unlearning

GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints SemEval 2025 Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025 Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs SemEval 2025 Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025 LMEraser: Large Model Unlearning via Adaptive Prompt Tuning AISTATS 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025 MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025 Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025 Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU SemEval 2025 Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints AAAI 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025 Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025 Person De-reidentification: A Variation-guided Identity Shift Modeling CVPR 2025 ReLearn: Unlearning via Learning for Large Language Models ACL 2025 REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing EMNLP 2025 Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025 SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning UAI 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models SemEval 2025 Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models EMNLP 2025 Toward Efficient Data-Free Unlearning AAAI 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 Towards Source-Free Machine Unlearning CVPR 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025