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Machine Unlearning

87 papers

Papers per year

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Papers

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
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints ACL 2025
Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU ACL 2025
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs ACL 2025
Howard University-AI4PC at SemEval-2025 Task 4: Unlearning Sensitive Content From Large Language Models Using Finetuning and Distillation for Selective Knowledge Removal ACL 2025
YNU at SemEval-2025 Task 4: Synthetic Token Alternative Training for LLM Unlearning ACL 2025
JU-CSE-NLP’25 at SemEval-2025 Task 4: Learning to Unlearn LLMs ACL 2025
Towards Source-Free Machine Unlearning CVPR 2025
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025
Person De-reidentification: A Variation-guided Identity Shift Modeling CVPR 2025
ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025
Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models CVPR 2025
Intrinsic Test of Unlearning Using Parametric Knowledge Traces 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
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
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025
DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention SEMEVAL 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NIPS 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NIPS 2024
Certified Machine Unlearning via Noisy Stochastic Gradient Descent NIPS 2024