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Machine Unlearning

87 papers

Papers per year

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Papers

WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NIPS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NIPS 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NIPS 2024
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation AAAI 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024
Feature Unlearning for Pre-trained GANs and VAEs AAAI 2024
Towards Safer Large Language Models through Machine Unlearning ACL 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024
Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024
Ungeneralizable Examples CVPR 2024
Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024
Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024
Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NIPS 2023
Model Sparsity Can Simplify Machine Unlearning NIPS 2023
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment ACL 2023
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023