machine unlearning

The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models CVPR 2025 Toward Efficient Data-Free Unlearning AAAI 2025 Towards Effective Evaluations and Comparisons for LLM Unlearning Methods ICLR 2025 Towards Machine Unlearning for Paralinguistic Speech Processing Interspeech 2025 Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning ICLR 2025 Towards Source-Free Machine Unlearning CVPR 2025 UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets EMNLP 2025 UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models NAACL 2025 Unified Parameter-Efficient Unlearning for LLMs ICLR 2025 Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation ACL 2025 Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy ICLR 2025 UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025 Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate NAACL 2025 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 Unlearning LLM-Based Speech Recognition Models Interspeech 2025 Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning ICLR 2025 Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter CVPR 2025 Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? EMNLP 2025 Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis COLING 2025 Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models AAAI 2025 Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning ACL 2025 YNU at SemEval-2025 Task 4: Synthetic Token Alternative Training for LLM Unlearning SemEval 2025 Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025