machine unlearning

Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization ICLR 2025 Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models SemEval 2025 Data Unlearning in Diffusion Models ICLR 2025 Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025 Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models ACL 2025 Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025 Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting AAAI 2025 DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention SemEval 2025 DynFrs: An Efficient Framework for Machine Unlearning in Random Forest ICLR 2025 Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning JMLR 2025 Efficient Unlearning for Spatio-temporal Graph (Student Abstract) AAAI 2025 Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning AAAI 2025 Erasing Undesirable Influence in Diffusion Models CVPR 2025 ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025 FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge EMNLP 2025 Fine-Grained and Efficient Self-Unlearning with Layered Iteration IJCAI 2025 Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models CVPR 2025 Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning EMNLP 2025 Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage AAAI 2025 Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization COLING 2025 GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints SemEval 2025 Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models EMNLP 2025 Hessian-Free Online Certified Unlearning ICLR 2025 Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning ICCV 2025 Howard University-AI4PC at SemEval-2025 Task 4: Unlearning Sensitive Content From Large Language Models Using Finetuning and Distillation for Selective Knowledge Removal SemEval 2025