Machine Unlearning
95 papers
Papers per year
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