Skip to content
conftrace_

Machine Unlearning

95 papers

1
2
4
5
8
23
37
15
'20
'25

Papers

Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning ACL 2025 Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NeurIPS 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Countering Relearning with Perception Revising Unlearning ACML 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024 Feature Unlearning for Pre-trained GANs and VAEs AAAI 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024 Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024 Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation AAAI 2024 SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024 Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024 Towards Safer Large Language Models through Machine Unlearning ACL 2024 ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024 Ungeneralizable Examples CVPR 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models NeurIPS 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS 2024